Garcia, M.,
Ustin, S.L.,
Detection of interannual vegetation responses to climatic variability
using AVIRIS data in a coastal savanna in California,
GeoRS(39), No. 7, July 2001, pp. 1480-1490.
IEEE Top Reference.
0108
BibRef
Rahman, A.F.[Abdullah F.],
Gamon, J.A.[John A.],
Sims, D.A.[Daniel A.],
Schmidts, M.[Miriam],
Optimum pixel size for hyperspectral studies of ecosystem function in
southern California chaparral and grassland,
RSE(84), No. 2, February 2003, pp. 192-207.
Elsevier DOI
0309
BibRef
Laliberte, A.S.[Andrea S.],
Goforth, M.A.[Mark A.],
Steele, C.M.[Caitriana M.],
Rango, A.[Albert],
Multispectral Remote Sensing from Unmanned Aircraft:
Image Processing Workflows and Applications for Rangeland Environments,
RS(3), No. 11, November 2011, pp. 2529-2551.
DOI Link
1203
Award, Remote Sensing, Third. 2015.
BibRef
Ramoelo, A.[Abel],
Skidmore, A.K.[Andrew K.],
Schlerf, M.[Martin],
Mathieu, R.[Renaud],
Heitkonig, I.M.A.[Ignas M.A.],
Water-removed spectra increase the retrieval accuracy when estimating
savanna grass nitrogen and phosphorus concentrations,
PandRS(66), No. 4, July 2011, pp. 408-417.
Elsevier DOI
1107
Nitrogen concentration; Phosphorus concentration; Water removal;
Continuum removal; Bootstrapping
BibRef
Darvishzadeh, R.[Roshanak],
Atzberger, C.[Clement],
Skidmore, A.[Andrew],
Schlerf, M.[Martin],
Mapping grassland leaf area index with airborne hyperspectral imagery:
A comparison study of statistical approaches and inversion of radiative
transfer models,
PandRS(66), No. 6, November 2011, pp. 894-906.
Elsevier DOI
1112
Mediterranean grassland; Mapping LAI; Hyperspectral; Modeling; Partial
least square regression; Vegetation indices
BibRef
Wu, J.D.[Jin-Dong],
Bauer, M.E.[Marvin E.],
Estimating Net Primary Production of Turfgrass in an Urban-Suburban
Landscape with QuickBird Imagery,
RS(4), No. 4, April 2012, pp. 849-866.
DOI Link
1202
BibRef
Foster, A.,
Kakani, V.,
Ge, J.,
Mosali, J.,
Discrimination of Switchgrass Cultivars and Nitrogen Treatments Using
Pigment Profiles and Hyperspectral Leaf Reflectance Data,
RS(4), No. 9, September 2012, pp. 2576-2594.
DOI Link
1210
BibRef
Mansour, K.[Khalid],
Mutanga, O.[Onisimo],
Everson, T.[Terry],
Adam, E.[Elhadi],
Discriminating indicator grass species for rangeland degradation
assessment using hyperspectral data resampled to AISA Eagle resolution,
PandRS(70), No. 1, June 2012, pp. 56-65.
Elsevier DOI
1206
Rangeland degradation; Random forest; Indicator species; Field
spectrometer measurements; Variable selection
BibRef
Schuster, C.,
Ali, I.,
Lohmann, P.,
Frick, A.,
Förster, M.,
Kleinschmit, B.,
Correction on 'Towards Detecting Swath Events in TerraSAR-X Time Series
to Establish NATURA 2000 Grassland Habitat Swath Management as
Monitoring Parameter',
RS(4), No. 8, August 2012, pp. 2455-2456.
DOI Link
1209
BibRef
Ramoelo, A.,
Skidmore, A.K.,
Cho, M.A.,
Mathieu, R.,
Heitkönig, I.M.A.,
Dudeni-Tlhone, N.,
Schlerf, M.,
Prins, H.H.T.,
Non-linear partial least square regression increases the estimation
accuracy of grass nitrogen and phosphorus using in situ hyperspectral
and environmental data,
PandRS(82), No. 1, August 2013, pp. 27-40.
Elsevier DOI
1306
In situ hyperspectral remote sensing, Ecosystem, Partial least
square regression, Radial basis neural network, Nitrogen
concentrations, Phosphorus concentrations
BibRef
Schlager, P.[Patric],
Krismann, A.[Alfons],
Wiedmann, K.[Kathrin],
Hiltscher, H.[Heiko],
Hochschild, V.[Volker],
Schmieder, K.[Klaus],
Multisensoral, object- and GIS-based classification of grassland
habitats in the Bio sphere Reserve Schwäbische Alb,
PFG(2013), No. 3, 2013, pp. 163-172.
DOI Link
1306
BibRef
Xu, D.D.[Dan-Dan],
Guo, X.L.[Xu-Lin],
A Study of Soil Line Simulation from Landsat Images in Mixed
Grassland,
RS(5), No. 9, 2013, pp. 4533-4550.
DOI Link
1310
Deal with substantial canopy and bare soil interference.
BibRef
Lan, H.[Hai],
Xie, Y.[Yichun],
A semi-ellipsoid-model based fuzzy classifier to map grassland in
Inner Mongolia, China,
PandRS(85), No. 1, 2013, pp. 21-31.
Elsevier DOI
1310
Fuzzy classifier
BibRef
Taghvaeian, S.[Saleh],
Chávez, J.L.[José L.],
Hattendorf, M.J.[Mary J.],
Crookston, M.A.[Mark A.],
Optical and Thermal Remote Sensing of Turfgrass Quality,
Water Stress, and Water Use under Different Soil and Irrigation Treatments,
RS(5), No. 5, 2013, pp. 2327-2347.
DOI Link
1307
BibRef
Ferreira, L.,
Fernandez, L.,
Sano, E.,
Field, C.,
Sousa, S.,
Arantes, A.,
Araújo, F.,
Biophysical Properties of Cultivated Pastures in the Brazilian Savanna
Biome: An Analysis in the Spatial-Temporal Domains Based on Ground and
Satellite Data,
RS(5), No. 1, January 2013, pp. 307-326.
DOI Link
1302
BibRef
Wang, X.[Xin],
Ge, L.L.[Lin-Lin],
Li, X.J.[Xiao-Jing],
Pasture Monitoring Using SAR with COSMO-SkyMed, ENVISAT ASAR, and
ALOS PALSAR in Otway, Australia,
RS(5), No. 7, 2013, pp. 3611-3636.
DOI Link
1308
BibRef
Dusseux, P.[Pauline],
Corpetti, T.[Thomas],
Hubert-Moy, L.[Laurence],
Corgne, S.[Samuel],
Combined Use of Multi-Temporal Optical and Radar Satellite Images for
Grassland Monitoring,
RS(6), No. 7, 2014, pp. 6163-6182.
DOI Link
1408
BibRef
Zlinszky, A.[András],
Schroiff, A.[Anke],
Kania, A.[Adam],
Deák, B.[Balázs],
Mücke, W.[Werner],
Vári, Á.[Ágnes],
Székely, B.[Balázs],
Pfeifer, N.[Norbert],
Categorizing Grassland Vegetation with Full-Waveform Airborne Laser
Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types,
RS(6), No. 9, 2014, pp. 8056-8087.
DOI Link
1410
BibRef
Helmholz, P.[Petra],
Rottensteiner, F.[Franz],
Heipke, C.[Christian],
Semi-automatic verification of cropland and grassland using very high
resolution mono-temporal satellite images,
PandRS(97), No. 1, 2014, pp. 204-218.
Elsevier DOI
1410
Automation
BibRef
Recio, J.A.,
Helmholz, P.,
Müller, S.,
Potential Evaluation of Different Types Of Images and Their Combination
for the Classification of GIS Objects Cropland and Grassland,
HighRes11(xx-yy).
PDF File.
1106
BibRef
Zhang, F.[Feng],
John, R.[Ranjeet],
Zhou, G.S.[Guang-Sheng],
Shao, C.L.[Chang-Liang],
Chen, J.Q.[Ji-Quan],
Estimating Canopy Characteristics of Inner Mongolia's Grasslands from
Field Spectrometry,
RS(6), No. 3, 2014, pp. 2239-2254.
DOI Link
1404
BibRef
Möckel, T.[Thomas],
Dalmayne, J.[Jonas],
Prentice, H.C.[Honor C.],
Eklundh, L.[Lars],
Purschke, O.[Oliver],
Schmidtlein, S.[Sebastian],
Hall, K.[Karin],
Classification of Grassland Successional Stages Using Airborne
Hyperspectral Imagery,
RS(6), No. 8, 2014, pp. 7732-7761.
DOI Link
1410
BibRef
El Hajj, M.[Mohammad],
Baghdadi, N.[Nicolas],
Belaud, G.[Gilles],
Zribi, M.[Mehrez],
Cheviron, B.[Bruno],
Courault, D.[Dominique],
Hagolle, O.[Olivier],
Charron, F.[François],
Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and
COSMO-SkyMed X-Band SAR Data,
RS(6), No. 10, 2014, pp. 10002-10032.
DOI Link
1411
BibRef
Jin, Y.X.[Yun-Xiang],
Yang, X.C.[Xiu-Chun],
Qiu, J.J.[Jian-Jun],
Li, J.Y.[Jin-Ya],
Gao, T.[Tian],
Wu, Q.[Qiong],
Zhao, F.[Fen],
Ma, H.L.[Hai-Long],
Yu, H.[Haida],
Xu, B.[Bin],
Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal
Variations in Temperate Grassland, Northern China,
RS(6), No. 2, 2014, pp. 1496-1513.
DOI Link
1403
BibRef
Zhao, F.[Fen],
Xu, B.[Bin],
Yang, X.C.[Xiu-Chun],
Jin, Y.X.[Yun-Xiang],
Li, J.Y.[Jin-Ya],
Xia, L.[Lang],
Chen, S.[Shi],
Ma, H.L.[Hai-Long],
Remote Sensing Estimates of Grassland Aboveground Biomass Based on
MODIS Net Primary Productivity (NPP): A Case Study in the Xilingol
Grassland of Northern China,
RS(6), No. 6, 2014, pp. 5368-5386.
DOI Link
1407
BibRef
Yang, X.H.[Xiao-Hui],
Guo, X.L.[Xu-Lin],
Quantifying Responses of Spectral Vegetation Indices to Dead
Materials in Mixed Grasslands,
RS(6), No. 5, 2014, pp. 4289-4304.
DOI Link
1407
BibRef
Li, F.[Fei],
Chen, W.[Wei],
Zeng, Y.[Yuan],
Zhao, Q.[Qianjun],
Wu, B.[Bingfang],
Improving Estimates of Grassland Fractional Vegetation Cover Based on
a Pixel Dichotomy Model: A Case Study in Inner Mongolia, China,
RS(6), No. 6, 2014, pp. 4705-4722.
DOI Link
1407
BibRef
Tasumi, M.[Masahiro],
Hirakawa, K.[Kiyomi],
Hasegawa, N.[Nobumi],
Nishiwaki, A.[Aya],
Kimura, R.[Rikako],
Application of MODIS Land Products to Assessment of Land Degradation
of Alpine Rangeland in Northern India with Limited Ground-Based
Information,
RS(6), No. 10, 2014, pp. 9260-9276.
DOI Link
1411
BibRef
Nutini, F.[Francesco],
Boschetti, M.[Mirco],
Candiani, G.[Gabriele],
Bocchi, S.[Stefano],
Brivio, P.A.[Pietro Alessandro],
Evaporative Fraction as an Indicator of Moisture Condition and Water
Stress Status in Semi-Arid Rangeland Ecosystems,
RS(6), No. 7, 2014, pp. 6300-6323.
DOI Link
1408
BibRef
Lugassi, R.[Rachel],
Chudnovsky, A.[Alexandra],
Zaady, E.[Eli],
Dvash, L.[Levana],
Goldshleger, N.[Naftaly],
Spectral Slope as an Indicator of Pasture Quality,
RS(7), No. 1, 2014, pp. 256-274.
DOI Link
1502
BibRef
Wang, L.[Lei],
Yang, R.R.[Ran-Ran],
Tian, Q.J.[Qing-Jiu],
Yang, Y.J.[Yan-Jun],
Zhou, Y.[Yang],
Sun, Y.[Yuan],
Mi, X.F.[Xiao-Fei],
Comparative Analysis of GF-1 WFV, ZY-3 MUX, and HJ-1 CCD Sensor Data
for Grassland Monitoring Applications,
RS(7), No. 2, 2015, pp. 2089-2108.
DOI Link
1503
BibRef
Zlinszky, A.[András],
Deák, B.[Balázs],
Kania, A.[Adam],
Schroiff, A.[Anke],
Pfeifer, N.[Norbert],
Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt
Steppe with Airborne Laser Scanning,
RS(7), No. 3, 2015, pp. 2991-3019.
DOI Link
1504
BibRef
And:
Biodiversity Mapping Via Natura 2000 Conservation Status And Ebv
Assessment Using Airborne Laser Scanning In Alkali Grasslands,
ISPRS16(B8: 1293-1299).
DOI Link
1610
BibRef
Álvarez-Taboada, F.[Flor],
Tammadge, D.[David],
Schlerf, M.[Martin],
Skidmore, A.[Andrew],
Assessing MODIS GPP in Non-Forested Biomes in Water Limited Areas
Using EC Tower Data,
RS(7), No. 3, 2015, pp. 3274-3292.
DOI Link
1504
Global effect of shrubland, savanna, grasslands.
BibRef
Naidoo, L.[Laven],
Mathieu, R.[Renaud],
Main, R.[Russell],
Kleynhans, W.[Waldo],
Wessels, K.[Konrad],
Asner, G.[Gregory],
Leblon, B.[Brigitte],
Savannah woody structure modelling and mapping using multi-frequency
(X-, C- and L-band) Synthetic Aperture Radar data,
PandRS(105), No. 1, 2015, pp. 234-250.
Elsevier DOI
1506
Woody structure
BibRef
Wang, J.J.[Jun-Jie],
Wang, T.J.[Tie-Jun],
Skidmore, A.K.[Andrew K.],
Shi, T.[Tiezhu],
Wu, G.[Guofeng],
Evaluating Different Methods for Grass Nutrient Estimation from
Canopy Hyperspectral Reflectance,
RS(7), No. 5, 2015, pp. 5901-5917.
DOI Link
1506
BibRef
Wang, J.J.[Jun-Jie],
Wang, T.J.[Tie-Jun],
Shi, T.Z.[Tie-Zhu],
Wu, G.F.[Guo-Feng],
Skidmore, A.K.[Andrew K.],
A Wavelet-Based Area Parameter for Indirectly Estimating Copper
Concentration in Carex Leaves from Canopy Reflectance,
RS(7), No. 11, 2015, pp. 15340.
DOI Link
1512
BibRef
Liu, J.[Jing],
Skidmore, A.K.[Andrew K.],
Heurich, M.[Marco],
Wang, T.J.[Tie-Jun],
Significant effect of topographic normalization of airborne LiDAR
data on the retrieval of plant area index profile in mountainous
forests,
PandRS(132), No. 1, 2017, pp. 77-87.
Elsevier DOI
1710
Plant, area, index, profile
BibRef
Halabuk, A.[Andrej],
Mojses, M.[Matej],
Halabuk, M.[Marek],
David, S.[Stanislav],
Towards Detection of Cutting in Hay Meadows by Using of NDVI and EVI
Time Series,
RS(7), No. 5, 2015, pp. 6107-6132.
DOI Link
1506
BibRef
Wang, J.,
Cao, X.,
Chen, J.,
Jia, X.,
Assessment of Multiple Scattering in the Reflectance of Semiarid
Shrublands,
GeoRS(53), No. 9, September 2015, pp. 4910-4921.
IEEE DOI
1506
Earth
BibRef
Renier, C.[Cécile],
Waldner, F.[François],
Jacques, D.C.[Damien Christophe],
Ebbe, M.A.B.[Mohamed Abdallahi Babah],
Cressman, K.[Keith],
Defourny, P.[Pierre],
A Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert
Locust Habitat Monitoring with MODIS,
RS(7), No. 6, 2015, pp. 7545.
DOI Link
1507
BibRef
Waldner, F.[François],
Ebbe, M.A.B.[Mohamed Abdallahi Babah],
Cressman, K.[Keith],
Defourny, P.[Pierre],
Operational Monitoring of the Desert Locust Habitat with Earth
Observation: An Assessment,
IJGI(4), No. 4, 2015, pp. 2379.
DOI Link
1601
BibRef
Lugassi, R.[Rachel],
Chudnovsky, A.[Alexandra],
Zaady, E.[Eli],
Dvash, L.[Levana],
Goldshleger, N.[Naftaly],
Estimating Pasture Quality of Fresh Vegetation Based on Spectral
Slope of Mixed Data of Dry and Fresh Vegetation: Method Development,
RS(7), No. 6, 2015, pp. 8045.
DOI Link
1507
BibRef
Tewes, A.[Andreas],
Thonfeld, F.[Frank],
Schmidt, M.[Michael],
Oomen, R.J.[Roelof J.],
Zhu, X.L.[Xiao-Lin],
Dubovyk, O.[Olena],
Menz, G.[Gunter],
Schellberg, J.[Jürgen],
Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics
in Semi-Arid Rangelands in South Africa,
RS(7), No. 6, 2015, pp. 6510.
DOI Link
1507
BibRef
Diouf, A.A.[Abdoul Aziz],
Brandt, M.[Martin],
Verger, A.[Aleixandre],
El Jarroudi, M.[Moussa],
Djaby, B.[Bakary],
Fensholt, R.[Rasmus],
Ndione, J.A.[Jacques André],
Tychon, B.[Bernard],
Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological
Metrics from FAPAR Time Series,
RS(7), No. 7, 2015, pp. 9122.
DOI Link
1506
BibRef
Bórnez, K.,
Verger, A.[Aleixandre],
Filella, I.[Iolanda],
Peńuelas, J.[Josep],
Land surface phenology from Copernicus Global Land time series,
MultiTemp17(1-4)
IEEE DOI
1712
phenology, vegetation, AD 1999 to 2016,
Copernicus Global Land Service,
phenology
BibRef
Diouf, A.A.[Abdoul Aziz],
Hiernaux, P.[Pierre],
Brandt, M.[Martin],
Faye, G.[Gayane],
Djaby, B.[Bakary],
Diop, M.B.[Mouhamadou Bamba],
Ndione, J.A.[Jacques André],
Tychon, B.[Bernard],
Do Agrometeorological Data Improve Optical Satellite-Based
Estimations of the Herbaceous Yield in Sahelian Semi-Arid Ecosystems?,
RS(8), No. 8, 2016, pp. 668.
DOI Link
1609
BibRef
Yuan, X.L.[Xiu-Liang],
Li, L.H.[Long-Hui],
Chen, X.[Xi],
Shi, H.[Hao],
Effects of Precipitation Intensity and Temperature on NDVI-Based
Grass Change over Northern China during the Period from 1982 to 2011,
RS(7), No. 8, 2015, pp. 10164.
DOI Link
1509
BibRef
Stambaugh, M.C.[Michael C.],
Hammer, L.D.[Lyndia D.],
Godfrey, R.[Ralph],
Performance of Burn-Severity Metrics and Classification in Oak
Woodlands and Grasslands,
RS(7), No. 8, 2015, pp. 10501.
DOI Link
1509
BibRef
Bajgain, R.[Rajen],
Xiao, X.[Xiangming],
Wagle, P.[Pradeep],
Basara, J.[Jeffrey],
Zhou, Y.[Yuting],
Sensitivity analysis of vegetation indices to drought over two
tallgrass prairie sites,
PandRS(108), No. 1, 2015, pp. 151-160.
Elsevier DOI
1511
Drought
BibRef
He, B.B.[Bin-Bin],
Liao, Z.M.[Zhan-Mang],
Quan, X.W.[Xing-Wen],
Li, X.[Xing],
Hu, J.J.[Jun-Jie],
A Global Grassland Drought Index (GDI) Product:
Algorithm and Validation,
RS(7), No. 10, 2015, pp. 12704.
DOI Link
1511
BibRef
Roumiguié, A.[Antoine],
Jacquin, A.[Anne],
Sigel, G.[Grégoire],
Poilvé, H.[Hervé],
Hagolle, O.[Olivier],
Daydé, J.[Jean],
Validation of a Forage Production Index (FPI) Derived from MODIS
fCover Time-Series Using High-Resolution Satellite Imagery:
Methodology, Results and Opportunities,
RS(7), No. 9, 2015, pp. 11525.
DOI Link
1511
BibRef
Capolupo, A.[Alessandra],
Kooistra, L.[Lammert],
Berendonk, C.[Clara],
Boccia, L.[Lorenzo],
Suomalainen, J.[Juha],
Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral
Images: A Comparison of Statistical Approaches,
IJGI(4), No. 4, 2015, pp. 2792.
DOI Link
1601
BibRef
Zhang, W.[Wenjiang],
Yi, Y.[Yonghong],
Kimball, J.S.[John S.],
Kim, Y.[Youngwook],
Song, K.[Kechao],
Climatic Controls on Spring Onset of the Tibetan Plateau Grasslands
from 1982 to 2008,
RS(7), No. 12, 2015, pp. 15847.
DOI Link
1601
BibRef
Jiménez, M.[Marcos],
Díaz-Delgado, R.[Ricardo],
Towards a Standard Plant Species Spectral Library Protocol for
Vegetation Mapping: A Case Study in the Shrubland of Dońana National
Park,
IJGI(4), No. 4, 2015, pp. 2472.
DOI Link
1601
BibRef
Zhang, B.H.[Bing-Hua],
Zhang, L.[Li],
Xie, D.[Dong],
Yin, X.L.[Xiao-Li],
Liu, C.J.[Chun-Jing],
Liu, G.[Guang],
Application of Synthetic NDVI Time Series Blended from Landsat and
MODIS Data for Grassland Biomass Estimation,
RS(8), No. 1, 2016, pp. 10.
DOI Link
1602
BibRef
Wang, R.[Ran],
Gamon, J.A.[John A.],
Montgomery, R.A.[Rebecca A.],
Townsend, P.A.[Philip A.],
Zygielbaum, A.I.[Arthur I.],
Bitan, K.[Keren],
Tilman, D.[David],
Cavender-Bares, J.[Jeannine],
Seasonal Variation in the NDVI-Species Richness Relationship in a
Prairie Grassland Experiment (Cedar Creek),
RS(8), No. 2, 2016, pp. 128.
DOI Link
1603
BibRef
Möckel, T.[Thomas],
Dalmayne, J.[Jonas],
Schmid, B.C.[Barbara C.],
Prentice, H.C.[Honor C.],
Hall, K.[Karin],
Airborne Hyperspectral Data Predict Fine-Scale Plant Species
Diversity in Grazed Dry Grasslands,
RS(8), No. 2, 2016, pp. 133.
DOI Link
1603
BibRef
Schaefer, M.T.[Michael T.],
Lamb, D.W.[David W.],
A Combination of Plant NDVI and LiDAR Measurements Improve the
Estimation of Pasture Biomass in Tall Fescue (Festuca arundinacea
var. Fletcher),
RS(8), No. 2, 2016, pp. 109.
DOI Link
1603
BibRef
Wang, J.[Jiyan],
Li, A.[Ainong],
Bian, J.[Jinhu],
Simulation of the Grazing Effects on Grassland Aboveground Net
Primary Production Using DNDC Model Combined with Time-Series Remote
Sensing Data: A Case Study in Zoige Plateau, China,
RS(8), No. 3, 2016, pp. 168.
DOI Link
1604
BibRef
Nestola, E.[Enrica],
Calfapietra, C.[Carlo],
Emmerton, C.A.[Craig A.],
Wong, C.Y.S.[Christopher Y.S.],
Thayer, D.R.[Donnette R.],
Gamon, J.A.[John A.],
Monitoring Grassland Seasonal Carbon Dynamics, by Integrating MODIS
NDVI, Proximal Optical Sampling, and Eddy Covariance Measurements,
RS(8), No. 3, 2016, pp. 260.
DOI Link
1604
BibRef
Wang, R.[Ran],
Gamon, J.A.[John A.],
Emmerton, C.A.[Craig A.],
Li, H.T.[Hai-Tao],
Nestola, E.[Enrica],
Pastorello, G.Z.[Gilberto Z.],
Menzer, O.[Olaf],
Integrated Analysis of Productivity and Biodiversity in a Southern
Alberta Prairie,
RS(8), No. 3, 2016, pp. 214.
DOI Link
1604
BibRef
Pullanagari, R.R.,
Kereszturi, G.[Gábor],
Yule, I.J.,
Mapping of macro and micro nutrients of mixed pastures using airborne
AisaFENIX hyperspectral imagery,
PandRS(117), No. 1, 2016, pp. 1-10.
Elsevier DOI
1605
Mixed pasture
BibRef
Gao, Q.Z.[Qing-Zhu],
Schwartz, M.W.[Mark W.],
Zhu, W.Q.[Wen-Quan],
Wan, Y.[Yunfan],
Qin, X.B.[Xiao-Bo],
Ma, X.[Xin],
Liu, S.[Shuo],
Williamson, M.A.[Matthew A.],
Peters, C.B.[Casey B.],
Li, Y.[Yue],
Changes in Global Grassland Productivity during 1982 to 2011
Attributable to Climatic Factors,
RS(8), No. 5, 2016, pp. 384.
DOI Link
1606
BibRef
Gwenzi, D.[David],
Lefsky, M.A.[Michael A.],
Suchdeo, V.P.[Vijay P.],
Harding, D.J.[David J.],
Prospects of the ICESat-2 laser altimetry mission for savanna
ecosystem structural studies based on airborne simulation data,
PandRS(118), No. 1, 2016, pp. 68-82.
Elsevier DOI
1606
Photon counting lidar
BibRef
Zewdie, W.[Worku],
Csaplovics, E.[Elmar],
Identifying Categorical Land Use Transition and Land Degradation in
Northwestern Drylands of Ethiopia,
RS(8), No. 5, 2016, pp. 408.
DOI Link
1606
BibRef
Bayat, B.[Bagher],
van der Tol, C.[Christiaan],
Verhoef, W.[Wouter],
Remote Sensing of Grass Response to Drought Stress Using
Spectroscopic Techniques and Canopy Reflectance Model Inversion,
RS(8), No. 7, 2016, pp. 557.
DOI Link
1608
BibRef
Mendez-Estrella, R.[Romeo],
Romo-Leon, J.R.[Jose Raul],
Castellanos, A.E.[Alejandro E.],
Gandarilla-Aizpuro, F.J.[Fabiola J.],
Hartfield, K.[Kyle],
Analyzing Landscape Trends on Agriculture, Introduced Exotic
Grasslands and Riparian Ecosystems in Arid Regions of Mexico,
RS(8), No. 8, 2016, pp. 664.
DOI Link
1609
BibRef
Li, Z.W.[Zhen-Wang],
Wang, J.H.[Jiang-Hao],
Tang, H.[Huan],
Huang, C.Q.[Cheng-Quan],
Yang, F.[Fan],
Chen, B.R.[Bao-Rui],
Wang, X.[Xu],
Xin, X.P.[Xiao-Ping],
Ge, Y.[Yong],
Predicting Grassland Leaf Area Index in the Meadow Steppes of
Northern China: A Comparative Study of Regression Approaches and
Hybrid Geostatistical Methods,
RS(8), No. 8, 2016, pp. 632.
DOI Link
1609
BibRef
Jackson, H.[Hasan],
Prince, S.D.[Stephen D.],
Degradation of Non-Photosynthetic Vegetation in a Semi-Arid Rangeland,
RS(8), No. 8, 2016, pp. 692.
DOI Link
1609
BibRef
Shoko, C.[Cletah],
Mutanga, O.[Onisimo],
Dube, T.[Timothy],
Progress in the remote sensing of C3 and C4 grass species aboveground
biomass over time and space,
PandRS(120), No. 1, 2016, pp. 13-24.
Elsevier DOI
1610
Climate change
BibRef
Kumar, L.[Lalit],
Mutanga, O.[Onisimo],
Remote Sensing of Above-Ground Biomass,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Shoko, C.[Cletah],
Mutanga, O.[Onisimo],
Examining the strength of the newly-launched Sentinel 2 MSI sensor in
detecting and discriminating subtle differences between C3 and C4
grass species,
PandRS(129), No. 1, 2017, pp. 32-40.
Elsevier DOI
1706
Grassland, ecosystems
BibRef
Kaszta, Z.[Zaneta],
van de Kerchove, R.[Ruben],
Ramoelo, A.[Abel],
Cho, M.A.[Moses Azong],
Madonsela, S.[Sabelo],
Mathieu, R.[Renaud],
Wolff, E.[Eléonore],
Seasonal Separation of African Savanna Components Using Worldview-2
Imagery: A Comparison of Pixel- and Object-Based Approaches and
Selected Classification Algorithms,
RS(8), No. 9, 2016, pp. 763.
DOI Link
1610
BibRef
Wehlage, D.C.[Donald C.],
Gamon, J.A.[John A.],
Thayer, D.[Donnette],
Hildebrand, D.V.[David V.],
Interannual Variability in Dry Mixed-Grass Prairie Yield: A
Comparison of MODIS, SPOT, and Field Measurements,
RS(8), No. 10, 2016, pp. 872.
DOI Link
1609
BibRef
Tamm, T.[Tanel],
Zalite, K.[Karlis],
Voormansik, K.[Kaupo],
Talgre, L.[Liina],
Relating Sentinel-1 Interferometric Coherence to Mowing Events on
Grasslands,
RS(8), No. 10, 2016, pp. 802.
DOI Link
1609
BibRef
Wylie, B.[Bruce],
Howard, D.[Daniel],
Dahal, D.[Devendra],
Gilmanov, T.[Tagir],
Ji, L.[Lei],
Zhang, L.[Li],
Smith, K.[Kelcy],
Grassland and Cropland Net Ecosystem Production of the U.S. Great
Plains: Regression Tree Model Development and Comparative Analysis,
RS(8), No. 11, 2016, pp. 944.
DOI Link
1612
BibRef
Dye, D.G.[Dennis G.],
Middleton, B.R.[Barry R.],
Vogel, J.M.[John M.],
Wu, Z.[Zhuoting],
Velasco, M.[Miguel],
Exploiting Differential Vegetation Phenology for Satellite-Based
Mapping of Semiarid Grass Vegetation in the Southwestern United
States and Northern Mexico,
RS(8), No. 11, 2016, pp. 889.
DOI Link
1612
BibRef
Schmidt, M.[Michael],
Carter, J.[John],
Stone, G.[Grant],
O'Reagain, P.[Peter],
Integration of Optical and X-Band Radar Data for Pasture Biomass
Estimation in an Open Savannah Woodland,
RS(8), No. 12, 2016, pp. 989.
DOI Link
1612
BibRef
Eberenz, J.[Johannes],
Verbesselt, J.[Jan],
Herold, M.[Martin],
Tsendbazar, N.E.[Nandin-Erdene],
Sabatino, G.[Giovanni],
Rivolta, G.[Giancarlo],
Evaluating the Potential of PROBA-V Satellite Image Time Series for
Improving LC Classification in Semi-Arid African Landscapes,
RS(8), No. 12, 2016, pp. 987.
DOI Link
1612
BibRef
Sibanda, M.[Mbulisi],
Mutanga, O.[Onisimo],
Rouget, M.[Mathieu],
Kumar, L.[Lalit],
Estimating Biomass of Native Grass Grown under Complex Management
Treatments Using WorldView-3 Spectral Derivatives,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Hollberg, J.L.[Jens L.],
Schellberg, J.[Jürgen],
Distinguishing Intensity Levels of Grassland Fertilization Using
Vegetation Indices,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Moeckel, T.[Thomas],
Safari, H.[Hanieh],
Reddersen, B.[Björn],
Fricke, T.[Thomas],
Wachendorf, M.[Michael],
Fusion of Ultrasonic and Spectral Sensor Data for Improving the
Estimation of Biomass in Grasslands with Heterogeneous Sward
Structure,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Li, J.[Jucai],
Fan, W.J.[Wen-Jie],
Liu, Y.[Yuan],
Zhu, G.L.[Gao-Long],
Peng, J.J.[Jing-Jing],
Xu, X.[Xiru],
Estimating Savanna Clumping Index Using Hemispherical Photographs
Integrated with High Resolution Remote Sensing Images,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Aguiar, D.A.[Daniel Alves],
Mello, M.P.[Marcio Pupin],
Nogueira, S.F.[Sandra Furlan],
Gonçalves, F.G.[Fabio Guimarăes],
Adami, M.[Marcos],
Rudorff, B.F.T.[Bernardo Friedrich Theodor],
MODIS Time Series to Detect Anthropogenic Interventions and
Degradation Processes in Tropical Pasture,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Feng, Y.F.[Yun-Fei],
Wu, J.S.[Jian-Shuang],
Zhang, J.[Jing],
Zhang, X.Z.[Xian-Zhou],
Song, C.Q.[Chun-Qiao],
Identifying the Relative Contributions of Climate and Grazing to Both
Direction and Magnitude of Alpine Grassland Productivity Dynamics
from 1993 to 2011 on the Northern Tibetan Plateau,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
BibRef
Meng, B.P.[Bao-Ping],
Ge, J.[Jing],
Liang, T.[Tiangang],
Yang, S.[Shuxia],
Gao, J.[Jinglong],
Feng, Q.[Qisheng],
Cui, X.[Xia],
Huang, X.D.[Xiao-Dong],
Xie, H.J.[Hong-Jie],
Evaluation of Remote Sensing Inversion Error for the Above-Ground
Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite
Data,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Braun, A.[Andreas],
Hochschild, V.[Volker],
A SAR-Based Index for Landscape Changes in African Savannas,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Lu, B.[Bing],
He, Y.H.[Yu-Hong],
Species classification using Unmanned Aerial Vehicle (UAV)-acquired
high spatial resolution imagery in a heterogeneous grassland,
PandRS(128), No. 1, 2017, pp. 73-85.
Elsevier DOI
1706
UAV
BibRef
Schucknecht, A.[Anne],
Meroni, M.[Michele],
Kayitakire, F.[Francois],
Boureima, A.[Amadou],
Phenology-Based Biomass Estimation to Support Rangeland Management in
Semi-Arid Environments,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Gillan, J.K.[Jeffrey K.],
Karl, J.W.[Jason W.],
Elaksher, A.[Ahmed],
Duniway, M.C.[Michael C.],
Fine-Resolution Repeat Topographic Surveying of Dryland Landscapes
Using UAS-Based Structure-from-Motion Photogrammetry: Assessing
Accuracy and Precision against Traditional Ground-Based Erosion
Measurements,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Marston, C.G.[Christopher G.],
Aplin, P.[Paul],
Wilkinson, D.M.[David M.],
Field, R.[Richard],
O'Regan, H.J.[Hannah J.],
Scrubbing Up: Multi-Scale Investigation of Woody Encroachment in a
Southern African Savannah,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Cooper, S.D.[Sam D.],
Roy, D.P.[David P.],
Schaaf, C.B.[Crystal B.],
Paynter, I.[Ian],
Examination of the Potential of Terrestrial Laser Scanning and
Structure-from-Motion Photogrammetry for Rapid Nondestructive Field
Measurement of Grass Biomass,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Lopes, M.[Mailys],
Fauvel, M.[Mathieu],
Girard, S.[Stéphane],
Sheeren, D.[David],
Object-Based Classification of Grasslands from High Resolution
Satellite Image Time Series Using Gaussian Mean Map Kernels,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Chang, S.[Sheng],
Wu, B.[Bingfang],
Yan, N.[Nana],
Davdai, B.[Bulgan],
Nasanbat, E.[Elbegjargal],
Suitability Assessment of Satellite-Derived Drought Indices for
Mongolian Grassland,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Pitkänen, T.P.,
Käyhkö, N.,
Reducing classification error of grassland overgrowth by combing
low-density lidar acquisitions and optical remote sensing data,
PandRS(130), No. 1, 2017, pp. 150-161.
Elsevier DOI
1708
BibRef
Cho, M.A.[Moses A.],
Ramoelo, A.[Abel],
Dziba, L.[Luthando],
Response of Land Surface Phenology to Variation in Tree Cover during
Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern
Africa,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Abuzar, M.[Mohammad],
Whitfield, D.[Des],
McAllister, A.[Andy],
Farm Level Assessment of Irrigation Performance for Dairy Pastures in
the Goulburn-Murray District of Australia by Combining
Satellite-Based Measures with Weather and Water Delivery Information,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Khand, K.[Kul],
Taghvaeian, S.[Saleh],
Hassan-Esfahani, L.[Leila],
Mapping Annual Riparian Water Use Based on the Single-Satellite-Scene
Approach,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
McCann, C.,
Repasky, K.S.,
Morin, M.,
Lawrence, R.L.,
Powell, S.,
Using Landsat Surface Reflectance Data as a Reference Target for
Multiswath Hyperspectral Data Collected Over Mixed Agricultural
Rangeland Areas,
GeoRS(55), No. 9, September 2017, pp. 5002-5014.
IEEE DOI
1709
agricultural rangeland areas,
ground-based reflectance spectra, vegetation.
BibRef
Tsalyuk, M.[Miriam],
Kelly, M.[Maggi],
Getz, W.M.[Wayne M.],
Improving the prediction of African savanna vegetation variables
using time series of MODIS products,
PandRS(131), No. 1, 2017, pp. 77-91.
Elsevier DOI
1709
Vegetation, cover
BibRef
McCann, C.[Cooper],
Repasky, K.S.[Kevin S.],
Lawrence, R.[Rick],
Powell, S.[Scott],
Multi-temporal mesoscale hyperspectral data of mixed agricultural and
grassland regions for anomaly detection,
PandRS(131), No. 1, 2017, pp. 121-133.
Elsevier DOI
1709
Multi-temporal
BibRef
Ding, C.[Chao],
Liu, X.N.[Xiang-Nan],
Huang, F.[Fang],
Temporal Interpolation of Satellite-Derived Leaf Area Index Time
Series by Introducing Spatial-Temporal Constraints for Heterogeneous
Grasslands,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Lopes, M.[Mailys],
Fauvel, M.[Mathieu],
Ouin, A.[Annie],
Girard, S.[Stéphane],
Spectro-Temporal Heterogeneity Measures from Dense High Spatial
Resolution Satellite Image Time Series: Application to Grassland
Species Diversity Estimation,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Browning, D.M.[Dawn M.],
Karl, J.W.[Jason W.],
Morin, D.[David],
Richardson, A.D.[Andrew D.],
Tweedie, C.E.[Craig E.],
Phenocams Bridge the Gap between Field and Satellite Observations in
an Arid Grassland Ecosystem,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Madonsela, S.[Sabelo],
Cho, M.A.[Moses Azong],
Ramoelo, A.[Abel],
Mutanga, O.[Onisimo],
Remote sensing of species diversity using Landsat 8 spectral
variables,
PandRS(133), No. Supplement C, 2017, pp. 116-127.
Elsevier DOI
1711
PCA, NDVI, Landsat-8, Savannah, Tree species diversity
BibRef
Zhang, C.Y.[Cheng-Ye],
Ren, H.Z.[Hua-Zhong],
Liang, Y.Z.[Yan-Zhen],
Liu, S.[Suhong],
Qin, Q.M.[Qi-Ming],
Ersoy, O.K.[Okan K.],
Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance
of Copper-Stressed Leaves,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Ge, R.[Rong],
He, H.L.[Hong-Lin],
Ren, X.L.[Xiao-Li],
Zhang, L.[Li],
Li, P.[Pan],
Zeng, N.[Na],
Yu, G.[Guirui],
Zhang, L.[Liyun],
Yu, S.Y.[Shi-Yong],
Zhang, F.[Fawei],
Li, H.Q.[Hong-Qin],
Shi, P.[Peili],
Chen, S.P.[Shi-Ping],
Wang, Y.F.[Yan-Fen],
Xin, X.P.[Xiao-Ping],
Ma, Y.M.[Yao-Ming],
Ma, M.G.[Ming-Guo],
Zhang, Y.[Yu],
Du, M.Y.[Ming-Yuan],
A Satellite-Based Model for Simulating Ecosystem Respiration in the
Tibetan and Inner Mongolian Grasslands,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Ren, S.L.[Shi-Long],
Yi, S.H.[Shu-Hua],
Peichl, M.[Matthias],
Wang, X.Y.[Xiao-Yun],
Diverse Responses of Vegetation Phenology to Climate Change in
Different Grasslands in Inner Mongolia during 2000-2016,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Prieto-Amparan, J.A.[Jesús A.],
Villarreal-Guerrero, F.[Federico],
Martinez-Salvador, M.[Martin],
Manjarrez-Domínguez, C.[Carlos],
Santellano-Estrada, E.[Eduardo],
Pinedo-Alvarez, A.[Alfredo],
Atmospheric and Radiometric Correction Algorithms for the
Multitemporal Assessment of Grasslands Productivity,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Kycko, M.[Marlena],
Zagajewski, B.[Bogdan],
Lavender, S.[Samantha],
Romanowska, E.[Elzbieta],
Zwijacz-Kozica, M.[Magdalena],
The Impact of Tourist Traffic on the Condition and Cell Structures of
Alpine Swards,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Melville, B.[Bethany],
Lucieer, A.[Arko],
Aryal, J.[Jagannath],
Assessing the Impact of Spectral Resolution on Classification of
Lowland Native Grassland Communities Based on Field Spectroscopy in
Tasmania, Australia,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Meng, B.P.[Bao-Ping],
Gao, J.[Jinlong],
Liang, T.[Tiangang],
Cui, X.[Xia],
Ge, J.[Jing],
Yin, J.[Jianpeng],
Feng, Q.S.[Qi-Sheng],
Xie, H.J.[Hong-Jie],
Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle
Technology and Multi-Factor Methods: A Case Study in the East of
Tibetan Plateau, China,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Higginbottom, T.P.[Thomas P.],
Symeonakis, E.[Elias],
Meyer, H.[Hanna],
van der Linden, S.[Sebastian],
Mapping fractional woody cover in semi-arid savannahs using
multi-seasonal composites from Landsat data,
PandRS(139), 2018, pp. 88-102.
Elsevier DOI
1804
Landsat-metrics, Optical-radar fusion, Woody cover mapping,
Savannahs, Large-area mapping
BibRef
Symeonakis, E.[Elias],
Higginbottom, T.P.[Thomas P.],
Petroulaki, K.[Kyriaki],
Rabe, A.[Andreas],
Optimisation of Savannah Land Cover Characterisation with Optical and
SAR Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Earlier: A1, A3, A2, Only:
Landsat-based Woody Vegetation Cover Monitoring In Southern African
Savannahs,
ISPRS16(B7: 563-567).
DOI Link
1610
BibRef
Shoko, C.[Cletah],
Mutanga, O.[Onisimo],
Dube, T.[Timothy],
Determining Optimal New Generation Satellite Derived Metrics for
Accurate C3 and C4 Grass Species Aboveground Biomass Estimation in
South Africa,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Parente, L.[Leandro],
Ferreira, L.[Laerte],
Assessing the Spatial and Occupation Dynamics of the Brazilian
Pasturelands Based on the Automated Classification of MODIS Images
from 2000 to 2016,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Hartfield, K.A.[Kyle A.],
van Leeuwen, W.J.D.[Willem J. D.],
Woody Cover Estimates in Oklahoma and Texas Using a Multi-Sensor
Calibration and Validation Approach,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Zhang, H.F.[Hui-Fang],
Sun, Y.[Yi],
Chang, L.[Li],
Qin, Y.[Yu],
Chen, J.J.[Jian-Jun],
Qin, Y.[Yan],
Du, J.X.[Jia-Xing],
Yi, S.H.[Shu-Hua],
Wang, Y.L.[Ying-Li],
Estimation of Grassland Canopy Height and Aboveground Biomass at the
Quadrat Scale Using Unmanned Aerial Vehicle,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Pullanagari, R.R.[Rajasheker R.],
Kereszturi, G.[Gabor],
Yule, I.[Ian],
Integrating Airborne Hyperspectral, Topographic, and Soil Data for
Estimating Pasture Quality Using Recursive Feature Elimination with
Random Forest Regression,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Yin, G.F.[Gao-Fei],
Li, A.N.[Ai-Nong],
Wu, C.Y.[Chao-Yang],
Wang, J.Y.[Ji-Yan],
Xie, Q.Y.[Qiao-Yun],
Zhang, Z.J.[Zheng-Jian],
Nan, X.[Xi],
Jin, H.[Huaan],
Bian, J.[Jinhu],
Lei, G.[Guangbin],
Seamless Upscaling of the Field-Measured Grassland Aboveground
Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8
OLI Reflectance,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Jansen, V.S.[Vincent S.],
Kolden, C.A.[Crystal A.],
Schmalz, H.J.[Heidi J.],
The Development of Near Real-Time Biomass and Cover Estimates for
Adaptive Rangeland Management Using Landsat 7 and Landsat 8 Surface
Reflectance Products,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Bunting, E.L.[Erin L.],
Southworth, J.[Jane],
Herrero, H.[Hannah],
Ryan, S.J.[Sadie J.],
Waylen, P.[Peter],
Understanding Long-Term Savanna Vegetation Persistence across Three
Drainage Basins in Southern Africa,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Wang, J.[Jun],
Zhou, T.[Tiancai],
Peng, P.[Peihao],
Phenology Response to Climatic Dynamic across China's Grasslands from
1985 to 2010,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Kolecka, N.[Natalia],
Ginzler, C.[Christian],
Pazur, R.[Robert],
Price, B.[Bronwyn],
Verburg, P.H.[Peter H.],
Regional Scale Mapping of Grassland Mowing Frequency with Sentinel-2
Time Series,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
d'Andrimont, R.[Raphaël],
Lemoine, G.[Guido],
van der Velde, M.[Marijn],
Targeted Grassland Monitoring at Parcel Level Using Sentinels,
Street-Level Images and Field Observations,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Gaffney, R.[Rowan],
Porensky, L.M.[Lauren M.],
Gao, F.[Feng],
Irisarri, J.G.[J. Gonzalo],
Durante, M.[Martín],
Derner, J.D.[Justin D.],
Augustine, D.J.[David J.],
Using APAR to Predict Aboveground Plant Productivity in Semi-Arid
Rangelands: Spatial and Temporal Relationships Differ,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Sesnie, S.E.[Steven E.],
Eagleston, H.[Holly],
Johnson, L.[Lacrecia],
Yurcich, E.[Emily],
In-Situ and Remote Sensing Platforms for Mapping Fine-Fuels and
Fuel-Types in Sonoran Semi-Desert Grasslands,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Baeza, S.[Santiago],
Paruelo, J.M.[José M.],
Spatial and temporal variation of human appropriation of net primary
production in the Rio de la Plata grasslands,
PandRS(145), 2018, pp. 238-249.
Elsevier DOI
1811
Land use change, Ecosystems functioning, MODIS
BibRef
Qi, Y.[Yi],
Ustin, S.L.[Susan L.],
Glenn, N.F.[Nancy F.],
Imaging Spectroscopic Analysis of Biochemical Traits for Shrub
Species in Great Basin, USA,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Zhu, X.Y.[Xiao-Yan],
Pei, Y.[Yanyan],
Zheng, Z.P.[Zhao-Pei],
Dong, J.[Jinwei],
Zhang, Y.[Yao],
Wang, J.B.[Jun-Bang],
Chen, L.[Lajiao],
Doughty, R.B.[Russell B.],
Zhang, G.[Geli],
Xiao, X.M.[Xiang-Ming],
Underestimates of Grassland Gross Primary Production in MODIS
Standard Products,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Wang, Z.H.[Zhi-Hui],
Yao, W.Y.[Wen-Yi],
Tang, Q.H.[Qiu-Hong],
Liu, L.Y.[Liang-Yun],
Xiao, P.Q.[Pei-Qing],
Kong, X.B.[Xiang-Bing],
Zhang, P.[Pan],
Shi, F.X.[Fang-Xin],
Wang, Y.J.[Yuan-Jian],
Continuous Change Detection of Forest/Grassland and Cropland in the
Loess Plateau of China Using All Available Landsat Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Pereira, O.J.R.[Osvaldo José Ribeiro],
Ferreira, L.G.[Laerte G.],
Pinto, F.[Flávia],
Baumgarten, L.[Leandro],
Assessing Pasture Degradation in the Brazilian Cerrado Based on the
Analysis of MODIS NDVI Time-Series,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Gao, J.L.[Jin-Long],
Meng, B.P.[Bao-Ping],
Liang, T.G.[Tian-Gang],
Feng, Q.S.[Qi-Sheng],
Ge, J.[Jing],
Yin, J.P.[Jian-Peng],
Wu, C.X.[Cai-Xia],
Cui, X.[Xia],
Hou, M.J.[Meng-Jing],
Liu, J.[Jie],
Xie, H.J.[Hong-Jie],
Modeling alpine grassland forage phosphorus based on hyperspectral
remote sensing and a multi-factor machine learning algorithm in the
east of Tibetan Plateau, China,
PandRS(147), 2019, pp. 104-117.
Elsevier DOI
1901
Model, Forage nutrition, Hyperspectral remote sensing,
Alpine grassland, Machine learning
BibRef
Marcinkowska-Ochtyra, A.[Adriana],
Jarocinska, A.[Anna],
Bzdega, K.[Katarzyna],
Tokarska-Guzik, B.[Barbara],
Classification of Expansive Grassland Species in Different Growth
Stages Based on Hyperspectral and LiDAR Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Van den Hoof, C.[Catherine],
Verstraete, M.[Michel],
Scholes, R.J.[Robert J.],
Differing Responses to Rainfall Suggest More Than One Functional Type
of Grassland in South Africa,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Melendo-Vega, J.R.[José Ramón],
Martín, M.P.[M. Pilar],
Pacheco-Labrador, J.[Javier],
González-Cascón, R.[Rosario],
Moreno, G.[Gerardo],
Pérez, F.[Fernando],
Migliavacca, M.[Mirco],
García, M.[Mariano],
North, P.[Peter],
Riańo, D.[David],
Improving the Performance of 3-D Radiative Transfer Model FLIGHT to
Simulate Optical Properties of a Tree-Grass Ecosystem,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Li, M.[Meng],
Wu, J.[Jianshuang],
Song, C.[Chunqiao],
He, Y.[Yongtao],
Niu, B.[Ben],
Fu, G.[Gang],
Tarolli, P.[Paolo],
Tietjen, B.[Britta],
Zhang, X.[Xianzhou],
Temporal Variability of Precipitation and Biomass of Alpine
Grasslands on the Northern Tibetan Plateau,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Zhou, Q.A.[Qi-Ang],
Rover, J.[Jennifer],
Brown, J.[Jesslyn],
Worstell, B.[Bruce],
Howard, D.[Danny],
Wu, Z.[Zhuoting],
Gallant, A.L.[Alisa L.],
Rundquist, B.[Bradley],
Burke, M.[Morgen],
Monitoring Landscape Dynamics in Central U.S. Grasslands with
Harmonized Landsat-8 and Sentinel-2 Time Series Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Crabbe, R.A.[Richard Azu],
Lamb, D.W.[David William],
Edwards, C.[Clare],
Discriminating between C3, C4, and Mixed C3/C4 Pasture Grasses of a
Grazed Landscape Using Multi-Temporal Sentinel-1a Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Rossi, M.[Mattia],
Niedrist, G.[Georg],
Asam, S.[Sarah],
Tonon, G.[Giustino],
Tomelleri, E.[Enrico],
Zebisch, M.[Marc],
A Comparison of the Signal from Diverse Optical Sensors for
Monitoring Alpine Grassland Dynamics,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Wei, X.[Xiaoxu],
Yan, C.[Changzhen],
Wei, W.[Wei],
Grassland Dynamics and the Driving Factors Based on Net Primary
Productivity in Qinghai Province, China,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Ancin-Murguzur, F.J.[Francisco Javier],
Taff, G.[Gregory],
Davids, C.[Corine],
Třmmervik, H.[Hans],
Mřlmann, J.[Jřrgen],
Jřrgensen, M.[Marit],
Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in
Grasslands at High Latitudes,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Polley, H.W.[H. Wayne],
Yang, C.H.[Cheng-Hai],
Wilsey, B.J.[Brian J.],
Fay, P.A.[Philip A.],
Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity
of Mesic Grasslands,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Peng, Y.[Yu],
Fan, M.[Min],
Bai, L.[Lan],
Sang, W.G.[Wei-Guo],
Feng, J.[Jinchao],
Zhao, Z.[Zhixin],
Tao, Z.[Ziye],
Identification of the Best Hyperspectral Indices in Estimating Plant
Species Richness in Sandy Grasslands,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Sakowska, K.[Karolina],
MacArthur, A.[Alasdair],
Gianelle, D.[Damiano],
Dalponte, M.[Michele],
Alberti, G.[Giorgio],
Gioli, B.[Beniamino],
Miglietta, F.[Franco],
Pitacco, A.[Andrea],
Meggio, F.[Franco],
Fava, F.[Francesco],
Julitta, T.[Tommaso],
Rossini, M.[Micol],
Rocchini, D.[Duccio],
Vescovo, L.[Loris],
Assessing Across-Scale Optical Diversity and Productivity
Relationships in Grasslands of the Italian Alps,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Noumonvi, K.D.[Koffi Dodji],
Ferlan, M.[Mitja],
Eler, K.[Klemen],
Alberti, G.[Giorgio],
Peressotti, A.[Alessandro],
Cerasoli, S.[Sofia],
Estimation of Carbon Fluxes from Eddy Covariance Data and
Satellite-Derived Vegetation Indices in a Karst Grassland (Podgorski
Kras, Slovenia),
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Taravat, A.[Alireza],
Wagner, M.P.[Matthias P.],
Oppelt, N.[Natascha],
Automatic Grassland Cutting Status Detection in the Context of
Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural
Networks,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Michez, A.[Adrien],
Lejeune, P.[Philippe],
Bauwens, S.[Sébastien],
Herinaina, A.A.L.[Andriamandroso Andriamasinoro Lalaina],
Blaise, Y.[Yannick],
Muńoz, E.C.[Eloy Castro],
Lebeau, F.[Frédéric],
Bindelle, J.[Jérôme],
Mapping and Monitoring of Biomass and Grazing in Pasture with an
Unmanned Aerial System,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Liu, H.[Han],
Dahlgren, R.A.[Randy A.],
Larsen, R.E.[Royce E.],
Devine, S.M.[Scott M.],
Roche, L.M.[Leslie M.],
O'Geen, A.T.[Anthony T.],
Wong, A.J.Y.[Andy J.Y.],
Covello, S.[Sarah],
Jin, Y.[Yufang],
Estimating Rangeland Forage Production Using Remote Sensing Data from
a Small Unmanned Aerial System (sUAS) and PlanetScope Satellite,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Anchang, J.Y.[Julius Y.],
Prihodko, L.[Lara],
Kaptué, A.T.[Armel T.],
Ross, C.W.[Christopher W.],
Ji, W.J.[Wen-Jie],
Kumar, S.S.[Sanath S.],
Lind, B.[Brianna],
Sarr, M.A.[Mamadou A.],
Diouf, A.A.[Abdoul A.],
Hanan, N.P.[Niall P.],
Trends in Woody and Herbaceous Vegetation in the Savannas of West
Africa,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Stendardi, L.[Laura],
Karlsen, S.R.[Stein Rune],
Niedrist, G.[Georg],
Gerdol, R.[Renato],
Zebisch, M.[Marc],
Rossi, M.[Mattia],
Notarnicola, C.[Claudia],
Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery to Detect
Meadow Phenology in Mountain Regions,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Crabbe, R.A.[Richard Azu],
Lamb, D.W.[David William],
Edwards, C.[Clare],
Andersson, K.[Karl],
Schneider, D.[Derek],
A Preliminary Investigation of the Potential of Sentinel-1 Radar to
Estimate Pasture Biomass in a Grazed Pasture Landscape,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Kumar, S.S.[Sanath Sathyachandran],
Hanan, N.P.[Niall P.],
Prihodko, L.[Lara],
Anchang, J.[Julius],
Ross, C.W.[C. Wade],
Ji, W.J.[Wen-Jie],
Lind, B.M.[Brianna M],
Alternative Vegetation States in Tropical Forests and Savannas:
The Search for Consistent Signals in Diverse Remote Sensing Data,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Lugassi, R.[Rachel],
Zaady, E.[Eli],
Goldshleger, N.[Naftaly],
Shoshany, M.[Maxim],
Chudnovsky, A.[Alexandra],
Spatial and Temporal Monitoring of Pasture Ecological Quality:
Sentinel-2-Based Estimation of Crude Protein and Neutral Detergent
Fiber Contents,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Dube, T.[Timothy],
Pandit, S.[Santa],
Shoko, C.[Cletah],
Ramoelo, A.[Abel],
Mazvimavi, D.[Dominic],
Dalu, T.[Tatenda],
Numerical Assessments of Leaf Area Index in Tropical Savanna
Rangelands, South Africa Using Landsat 8 OLI Derived Metrics and
In-Situ Measurements,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Meroni, M.[Michele],
Fasbender, D.[Dominique],
Lopez-Lozano, R.[Raul],
Migliavacca, M.[Mirco],
Assimilation of Earth Observation Data Over Cropland and Grassland
Sites into a Simple GPP Model,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Zheng, L.[Lei],
Zhao, G.S.[Guo-Song],
Dong, J.W.[Jin-Wei],
Ge, Q.S.[Quan-Sheng],
Tao, J.[Jian],
Zhang, X.Z.[Xue-Zhen],
Qi, Y.C.[You-Cun],
Doughty, R.B.[Russell B.],
Xiao, X.M.[Xiang-Ming],
Spatial, temporal, and spectral variations in albedo due to
vegetation changes in China's grasslands,
PandRS(152), 2019, pp. 1-12.
Elsevier DOI
1905
Albedo, Greenness, Grassland, Climate change, China
BibRef
Possoch, M.,
Bieker, S.,
Hoffmeister, D.,
Bolten, A.,
Schellberg, J.,
Bareth, G.,
Multi-temporal Crop Surface Models Combined With The Rgb Vegetation
Index From Uav-based Images For Forage Monitoring In Grassland,
ISPRS16(B1: 991-998).
DOI Link
1610
BibRef
van Iersel, W.K.,
Straatsma, M.W.,
Addink, E.A.,
Middelkoop, H.,
Monitoring Phenology Of Floodplain Grassland And Herbaceous Vegetation
With Uav Imagery,
ISPRS16(B7: 569-571).
DOI Link
1610
BibRef
Burai, P.[Péter],
Tomor, T.[Tamás],
Beko, L.,
Deák, B.[Balázs],
Airborne Hyperspectral Remote Sensing for Identification Grassland
Vegetation,
GeoHyper15(427-431).
DOI Link
1602
See also Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery.
BibRef
Schmidt, T.,
Forster, M.,
Gartner, P.,
Kleinschmit, B.,
Prediction of NDVI for grassland habitats by fusing RapidEye and
Landsat imagery,
MultiTemp15(1-4)
IEEE DOI
1511
geophysical image processing
BibRef
Jacquin, A.,
Hutchinson, J.M.S.,
Goulard, M.,
Hutchinson, S.L.,
A statistical approach for predicting grassland degradation in
disturbance-driven landscapes,
MultiTemp15(1-5)
IEEE DOI
1511
remote sensing
BibRef
Helmholz, P.,
Büschenfeld, T.,
Breitkopf, U.,
Müller, S.,
Rottensteiner, F.,
Multitemporal Quality Assessment Of Grassland And Cropland Objects Of A
Topographic Dataset,
ISPRS12(XXXIX-B4:67-72).
DOI Link
1209
BibRef
Kilpatrick, A.D.,
Warren-Smith, S.C.,
Read, J.L.,
Lewis, M.M.,
Ostendorf, B.,
Developments In Monitoring Rangelands Using Remotely-sensed Cross-fence
Comparisons,
ISPRS12(XXXIX-B8:485-486).
DOI Link
1209
BibRef
Pasolli, L.[Luca],
Notarnicola, C.[Claudia],
Bruzzone, L.[Lorenzo],
Zebisch, M.[Marc],
Spatial and temporal mapping of leaf area index in Alpine pastures and
meadows with satellite MODIS imagery,
MultiTemp11(109-112).
IEEE DOI
1109
BibRef
Hall-Beyer, M.[Mryka],
Year-to-year variability of NDVI in croplands and grasslands across a
regional grasslands-forest ecotone in Central Alberta, Canada,
MultiTemp11(273-276).
IEEE DOI
1109
BibRef
Dusseux, P.[Pauline],
Hubert-Moy, L.[Laurence],
Lecerf, R.[Remi],
Gong, X.[Xing],
Corpetti, T.[Thomas],
Identification of grazed and mown grasslands using a time series of
high-spatial-resolution remote sensing images,
MultiTemp11(145-148).
IEEE DOI
1109
BibRef
Forster, M.[Michael],
Frick, A.[Annett],
Kleinschmit, B.[Birgit],
Utilization of spectral measurements and phenological observations to
detect grassland-habitats with a RapidEye intra-annual time-series,
MultiTemp11(265-267).
IEEE DOI
1109
BibRef
Abadi, M.[Mohamed],
Capelle-Laizé, A.S.[Anne-Sophie],
Khoudeir, M.[Majdi],
Combes, D.[Didier],
Carré, S.[Serge],
Grassland Species Characterization for Plant Family Discrimination by
Image Processing,
ICISP10(173-181).
Springer DOI
1006
BibRef
McNeill, S.J.,
Pairman, D.,
Belliss, S.E.,
Dalley, D.,
Dynes, R.,
Estimation of pasture biomass using dual-polarisation radar imagery:
A preliminary study,
IVCNZ08(1-6).
IEEE DOI
0811
BibRef
Ghorbani, A.,
Bruce, D.,
Tiver, F.,
Stratification: a problem in rangeland monitoring,
OBIA06(xx-yy).
PDF File.
0607
BibRef
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