22.1.4.10 Pasture, Grassland, Rangeland Analysis and Change

Chapter Contents (Back)
Classification. Grassland Classification. Rangeland.

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

Olsson, A., van Leeuwen, W., Marsh, S.,
Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery,
RS(3), No. 10, October 2011, pp. 2283-2304.
DOI Link 1203
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

Mirik, M., Ansley, R.,
Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland,
RS(4), No. 7, July 2012, pp. 1947-1962.
DOI Link 1208
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

Levick, S.R.[Shaun R.], Setterfield, S.A.[Samantha A.], Rossiter-Rachor, N.A.[Natalie A.], Hutley, L.B.[Lindsay B.], MacMaster, D.[Damien], Hacker, J.M.[Jorg M.],
Monitoring the Distribution and Dynamics of an Invasive Grass in Tropical Savanna Using Airborne LiDAR,
RS(7), No. 5, 2015, pp. 5117-5132.
DOI Link 1506
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

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], Jarroudi, M.E.[Moussa El], 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

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

Wallace, C.S.A.[Cynthia S. A.], Walker, J.J.[Jessica J.], Skirvin, S.M.[Susan M.], Patrick-Birdwell, C.[Caroline], Weltzin, J.F.[Jake F.], Raichle, H.[Helen],
Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data,
RS(8), No. 7, 2016, pp. 524.
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

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
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Wylie, B.[Bruce], Howard, D.[Daniel], Dahal, D.[Devendra], Gilmanov, T.[Tagir], Ji, L.[Lei], Zhang, L.[Li], Smith, K.[Kelcy],
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Li, J.[Jucai], Fan, W.J.[Wen-Jie], Liu, Y.[Yuan], Zhu, G.L.[Gao-Long], Peng, J.J.[Jing-Jing], Xu, X.[Xiru],
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Ghorbani, A., Bruce, D., Tiver, F.,
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Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Maize or Corn Crop Analysis, Production, Detection, Health, Change .


Last update:Apr 26, 2017 at 10:20:07