NDVI, Normalized Difference Vegetation Index, Changes

Chapter Contents (Back)
NDVI. Change Detection.

Kastens, J.H., Jakubauskas, M.E., Lerner, D.E.,
Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series,
GeoRS(41), No. 11, November 2003, pp. 2590-2594.
IEEE Abstract. 0311

Lotsch, A., Friedl, M.A., Pinzon, J.E.,
Spatio-Temporal Deconvolution of NDVI Image Sequences Using Independent Component Analysis,
GeoRS(41), No. 12, December 2003, pp. 2938-2942.
IEEE Abstract. 0402

Geerken, R.A.[Roland A.],
An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter-annual change,
PandRS(64), No. 4, July 2009, pp. 422-431.
Elsevier DOI 0907
NDVI; MODIS; Phenology; Coverage; Change detection BibRef

Feilhauer, H., He, K., Rocchini, D.,
Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS-NDVI,
RS(4), No. 7, July 2012, pp. 2057-2075.
DOI Link 1208

Obata, K., Miura, T., Yoshioka, H.,
Analysis of the Scaling Effects in the Area-Averaged Fraction of Vegetation Cover Retrieved Using an NDVI-Isoline-Based Linear Mixture Model,
RS(4), No. 7, July 2012, pp. 2156-2180.
DOI Link 1208

Vrieling, A., de Leeuw, J., Said, M.,
Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series,
RS(5), No. 2, February 2013, pp. 982-1000.
DOI Link 1303

Sun, J., Cheng, G., Li, W., Sha, Y., Yang, Y.,
On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau,
RS(5), No. 4, April 2013, pp. 1894-1911.
DOI Link 1305

Tian, F.[Feng], Wang, Y.[Yunjia], Fensholt, R.[Rasmus], Wang, K.[Kun], Zhang, L.[Li], Huang, Y.[Yi],
Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau,
RS(5), No. 9, 2013, pp. 4255-4279.
DOI Link 1310

Sinha, P.[Priyakant], Kumar, L.[Lalit],
Independent two-step thresholding of binary images in inter-annual land cover change/no-change identification,
PandRS(81), No. 1, July 2013, pp. 31-43.
Elsevier DOI 1306
Binary images; NDVI differencing; Distribution normality; Thresholding; Change detection BibRef

Campo-Bescós, M.A.[Miguel A.], Muñoz-Carpena, R.[Rafael], Southworth, J.[Jane], Zhu, L.[Likai], Waylen, P.R.[Peter R.], Bunting, E.[Erin],
Combined Spatial and Temporal Effects of Environmental Controls on Long-Term Monthly NDVI in the Southern Africa Savanna,
RS(5), No. 12, 2013, pp. 6513-6538.
DOI Link 1402

Jiang, N.[Nan], Zhu, W.Q.[Wen-Quan], Zheng, Z.T.[Zhou-Tao], Chen, G.S.[Guang-Sheng], Fan, D.[Deqin],
A Comparative Analysis between GIMSS NDVIg and NDVI3g for Monitoring Vgetation Activity Change in the Northern Hemisphere during 1982-2008,
RS(5), No. 8, 2013, pp. 4031-4044.
DOI Link 1309

Atzberger, C., Rembold, F.,
Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets,
RS(5), No. 3, March 2013, pp. 1335-1354.
DOI Link 1304

Anyamba, A.[Assaf], Small, J.L.[Jennifer L.], Tucker, C.J.[Compton J.], Pak, E.W.[Edwin W.],
Thirty-two Years of Sahelian Zone Growing Season Non-Stationary NDVI3g Patterns and Trends,
RS(6), No. 4, 2014, pp. 3101-3122.
DOI Link 1405

Nagol, J.R.[Jyoteshwar R.], Vermote, E.F.[Eric F.], Prince, S.D.[Stephen D.],
Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data,
RS(6), No. 7, 2014, pp. 6680-6687.
DOI Link 1408

Bao, G.[Gang], Qin, Z.[Zhihao], Bao, Y.[Yuhai], Zhou, Y.[Yi], Li, W.J.[Wen-Juan], Sanjjav, A.[Amarjargal],
NDVI-Based Long-Term Vegetation Dynamics and Its Response to Climatic Change in the Mongolian Plateau,
RS(6), No. 9, 2014, pp. 8337-8358.
DOI Link 1410

Karlsen, S.R.[Stein Rune], Elvebakk, A.[Arve], Høgda, K.A.[Kjell Arild], Grydeland, T.[Tom],
Spatial and Temporal Variability in the Onset of the Growing Season on Svalbard, Arctic Norway: Measured by MODIS-NDVI Satellite Data,
RS(6), No. 9, 2014, pp. 8088-8106.
DOI Link 1410

Pinzon, J.E.[Jorge E.], Tucker, C.J.[Compton J.],
A Non-Stationary 1981-2012 AVHRR NDVI3g Time Series,
RS(6), No. 8, 2014, pp. 6929-6960.
DOI Link 1410
Award, Remote Sensing 10th, Rank 1. BibRef

Michishita, R.[Ryo], Jin, Z.Y.[Zhen-Yu], Chen, J.[Jin], Xu, B.[Bing],
Empirical comparison of noise reduction techniques for NDVI time-series based on a new measure,
PandRS(91), No. 1, 2014, pp. 17-28.
Elsevier DOI 1404
Vegetation index BibRef

Geng, L.Y.[Li-Ying], Ma, M.G.[Ming-Guo], Wang, X.F.[Xu-Feng], Yu, W.P.[Wen-Ping], Jia, S.Z.[Shu-Zhen], Wang, H.B.[Hai-Bo],
Comparison of Eight Techniques for Reconstructing Multi-Satellite Sensor Time-Series NDVI Data Sets in the Heihe River Basin, China,
RS(6), No. 3, 2014, pp. 2024-2049.
DOI Link 1404

de Oliveira, J.C.[Julio Cesar], Neves Epiphanio, J.C.[José Carlos], Rennó, C.D.[Camilo Daleles],
Window Regression: A Spatial-Temporal Analysis to Estimate Pixels Classified as Low-Quality in MODIS NDVI Time Series,
RS(6), No. 4, 2014, pp. 3123-3142.
DOI Link 1405

Jia, K.[Kun], Liang, S.L.[Shun-Lin], Zhang, N.[Ning], Wei, X.Q.[Xiang-Qin], Gu, X.F.[Xing-Fa], Zhao, X.[Xiang], Yao, Y.J.[Yun-Jun], Xie, X.H.[Xian-Hong],
Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data,
PandRS(93), No. 1, 2014, pp. 49-55.
Elsevier DOI 1407
Land cover BibRef

Jia, K.[Kun], Liang, S.L.[Shun-Lin], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun], Su, Y.R.[Ying-Ru], Jiang, B.[Bo], Wang, X.X.[Xiao-Xia],
Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data,
RS(6), No. 11, 2014, pp. 11518-11532.
DOI Link 1412

Vuolo, F.[Francesco], Atzberger, C.[Clement],
Improving Land Cover Maps in Areas of Disagreement of Existing Products using NDVI Time Series of MODIS: Example for Europe,
PFG(2014), No. 5, 2014, pp. 393-407.
DOI Link 1411

Sedano, F.[Fernando], Kempeneers, P.[Pieter], Hurtt, G.[George],
A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images,
RS(6), No. 12, 2014, pp. 12381-12408.
DOI Link 1412

Rao, Y.H.[Yu-Han], Zhu, X.L.[Xiao-Lin], Chen, J.[Jin], Wang, J.M.[Jian-Min],
An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images,
RS(7), No. 6, 2015, pp. 7865.
DOI Link 1507

Liao, L.M.[Li-Min], Song, J.L.[Jin-Ling], Wang, J.D.[Jin-Di], Xiao, Z.Q.[Zhi-Qiang], Wang, J.[Jian],
Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI,
RS(8), No. 6, 2016, pp. 452.
DOI Link 1608

de Bernardis, C.[Caleb], Vicente-Guijalba, F.[Fernando], Martinez-Marin, T.[Tomas], Lopez-Sanchez, J.M.[Juan M.],
Particle Filter Approach for Real-Time Estimation of Crop Phenological States Using Time Series of NDVI Images,
RS(8), No. 7, 2016, pp. 610.
DOI Link 1608

Bindhu, V.M., Narasimhan, B.,
Development of a spatio-temporal disaggregation method (DisNDVI) for generating a time series of fine resolution NDVI images,
PandRS(101), No. 1, 2015, pp. 57-68.
Elsevier DOI 1503

Gu, Y.X.[Ying-Xin], Wylie, B.K.[Bruce K.],
Downscaling 250-m MODIS Growing Season NDVI Based on Multiple-Date Landsat Images and Data Mining Approaches,
RS(7), No. 4, 2015, pp. 3489-3506.
DOI Link 1505

Raynolds, M.[Martha], Magnússon, B.[Borgþór], Metúsalemsson, S.[Sigmar], Magnússon, S.H.[Sigurður H.],
Warming, Sheep and Volcanoes: Land Cover Changes in Iceland Evident in Satellite NDVI Trends,
RS(7), No. 8, 2015, pp. 9492.
DOI Link 1509

Li, S.S.[Shuang-Shuang], Yang, S.[Saini], Liu, X.F.[Xian-Feng], Liu, Y.X.[Yan-Xu], Shi, M.[Mimi],
NDVI-Based Analysis on the Influence of Climate Change and Human Activities on Vegetation Restoration in the Shaanxi-Gansu-Ningxia Region, Central China,
RS(7), No. 9, 2015, pp. 11163.
DOI Link 1511

Hou, W.J.[Wen-Juan], Gao, J.B.[Jiang-Bo], Wu, S.H.[Shao-Hong], Dai, E.[Erfu],
Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China,
RS(7), No. 9, 2015, pp. 11105.
DOI Link 1511

Rafique, R.[Rashid], Zhao, F.[Fang], de Jong, R.[Rogier], Zeng, N.[Ning], Asrar, G.R.[Ghassem R.],
Global and Regional Variability and Change in Terrestrial Ecosystems Net Primary Production and NDVI: A Model-Data Comparison,
RS(8), No. 3, 2016, pp. 177.
DOI Link 1604

Fan, X.W.[Xing-Wang], Liu, Y.B.[Yuan-Bo],
A global study of NDVI difference among moderate-resolution satellite sensors,
PandRS(121), No. 1, 2016, pp. 177-191.
Elsevier DOI 1609
NDVI difference BibRef

Tsai, H.P.[Hui Ping], Lin, Y.H.[Yu-Hao], Yang, M.D.[Ming-Der],
Exploring Long Term Spatial Vegetation Trends in Taiwan from AVHRR NDVI3g Dataset Using RDA and HCA Analyses,
RS(8), No. 4, 2016, pp. 290.
DOI Link 1604

Hao, P.Y.[Peng-Yu], Wang, L.[Li], Zhan, Y.L.[Yu-Lin], Niu, Z.[Zheng],
Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China,
IJGI(5), No. 5, 2016, pp. 67.
DOI Link 1606

Xu, L.[Lili], Li, B.L.[Bao-Lin], Yuan, Y.C.[Ye-Cheng], Gao, X.Z.[Xi-Zhang], Zhang, T.[Tao], Sun, Q.L.[Qing-Ling],
Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset,
RS(8), No. 6, 2016, pp. 495.
DOI Link 1608

Yang, G.[Gang], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], He, Z.Y.[Zong-Yi], Li, X.H.[Xing-Hua],
A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT VEGETATION NDVI Time-Series Data,
GeoRS(53), No. 11, November 2015, pp. 6008-6021.
vegetation BibRef

Blaes, X.[Xavier], Chomé, G.[Guillaume], Lambert, M.J.[Marie-Julie], Traoré, P.S.[Pierre Sibiry], Schut, A.G.T.[Antonius G. T.], Defourny, P.[Pierre],
Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali,
RS(8), No. 6, 2016, pp. 531.
DOI Link 1608

Houborg, R.[Rasmus], McCabe, M.F.[Matthew F.],
High-Resolution NDVI from Planet's Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture,
RS(8), No. 9, 2016, pp. 768.
DOI Link 1610

Kong, F.J.[Fan-Jie], Li, X.B.[Xiao-Bing], Wang, H.[Hong], Xie, D.F.[Deng-Feng], Li, X.[Xiang], Bai, Y.X.[Yun-Xiao],
Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series,
RS(8), No. 9, 2016, pp. 741.
DOI Link 1610

Liu, R.,
Compositing the Minimum NDVI for MODIS Data,
GeoRS(55), No. 3, March 2017, pp. 1396-1406.
NDVI: normalized difference vegetation index. Clouds BibRef

Peng, S.[Shi], Wen, J.G.[Jian-Guang], Xiao, Q.[Qing], You, D.Q.[Dong-Qin], Dou, B.C.[Bao-Cheng], Liu, Q.A.[Qi-Ang], Tang, Y.[Yong],
Multi-Staged NDVI Dependent Snow-Free Land-Surface Shortwave Albedo Narrowband-to-Broadband (NTB) Coefficients and Their Sensitivity Analysis,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702

Militino, A.F.[Ana F.], Ugarte, M.D.[Maria Dolores], Pérez-Goya, U.[Unai],
Stochastic Spatio-Temporal Models for Analysing NDVI Distribution of GIMMS NDVI3g Images,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
NDVI: normalized difference vegetation index. BibRef

Fan, X., Liu, Y.,
A Generalized Model for Intersensor NDVI Calibration and Its Comparison With Regression Approaches,
GeoRS(55), No. 3, March 2017, pp. 1842-1852.
Atmospheric modeling BibRef

Zhang, T.H.[Tian-Hao], Zeng, C.[Chao], Gong, W.[Wei], Wang, L.[Lunche], Sun, K.[Kun], Shen, H.F.[Huan-Feng], Zhu, Z.M.[Zhong-Min], Zhu, Z.[Zerun],
Improving Spatial Coverage for Aqua MODIS AOD using NDVI-Based Multi-Temporal Regression Analysis,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

Karkauskaite, P.[Paulina], Tagesson, T.[Torbern], Fensholt, R.[Rasmus],
Evaluation of the Plant Phenology Index (PPI), NDVI and EVI for Start-of-Season Trend Analysis of the Northern Hemisphere Boreal Zone,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706

Robinson, N.P.[Nathaniel P.], Allred, B.W.[Brady W.], Jones, M.O.[Matthew O.], Moreno, A.[Alvaro], Kimball, J.S.[John S.], Naugle, D.E.[David E.], Erickson, T.A.[Tyler A.], Richardson, A.D.[Andrew D.],
A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Berra, E.F., Gaulton, R., Barr, S.,
Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI,
GeoRS(55), No. 9, September 2017, pp. 4878-4886.
autonomous aerial vehicles, vegetation mapping, COTS cameras, Landsat series, UAV-retrieved reflectance, digital numbers, fine spatial resolution, ground NDVI, ground measurements, ground reflectance, illumination conditions, infrared-modified commercial off-the-shelf camera, low-cost approaches, normalized difference vegetation index, quantitative remote sensing products, surface reflectance, unmanned aerial vehicle, user-controlled revisit periods, vegetation monitoring, within-flight illumination, Calibration, Cameras, Radiometry, Remote sensing, Satellites, Unmanned aerial vehicles, Vegetation mapping, Calibration, forest, multispectral, phenology, unmanned, aerial, system BibRef

Liao, C.H.[Chun-Hua], Wang, J.[Jinfei], Pritchard, I.[Ian], Liu, J.G.[Jian-Gui], Shang, J.[Jiali],
A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Cai, Z.Z.[Zhan-Zhang], Jönsson, P.[Per], Jin, H.X.[Hong-Xiao], Eklundh, L.[Lars],
Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802

Yin, G.F.[Gao-Fei], Li, A.N.[Ai-Nong], Verger, A.[Aleixandre],
Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802

Houborg, R.[Rasmus], McCabe, M.F.[Matthew F.],
Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806

Onyia, N.N.[Nkeiruka Nneti], Balzter, H.[Heiko], Berrio, J.C.[Juan-Carlos],
Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806

Bonthoux, S.[Sébastien], Lefèvre, S.[Solenne], Herrault, P.A.[Pierre-Alexis], Sheeren, D.[David],
Spatial and Temporal Dependency of NDVI Satellite Imagery in Predicting Bird Diversity over France,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808

Yang, J.X.[Jia-Xin], Chen, Y.[Yumin], Chen, M.[Meijie], Yang, F.[Fan], Yao, M.[Ming],
A Segmented Processing Approach of Eigenvector Spatial Filtering Regression for Normalized Difference Vegetation Index in Central China,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Peter, J.S.[Joseph St.], Hogland, J.[John], Hebblewhite, M.[Mark], Hurley, M.A.[Mark A.], Hupp, N.[Nicole], Proffitt, K.[Kelly],
Linking Phenological Indices from Digital Cameras in Idaho and Montana to MODIS NDVI,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Han, Y.[Yinan], Peng, J.[Jian], Meersmans, J.[Jeroen], Liu, Y.X.[Yan-Xu], Zhao, Z.Q.[Zhi-Qiang], Mao, Q.[Qi],
Integrating Spatial Continuous Wavelet Transform and Normalized Difference Vegetation Index to Map the Agro-Pastoral Transitional Zone in Northern China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Novillo, C.J.[Carlos J.], Arrogante-Funes, P.[Patricia], Romero-Calcerrada, R.[Raúl],
Recent NDVI Trends in Mainland Spain: Land-Cover and Phytoclimatic-Type Implications,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901

Guan, S.[Senlin], Fukami, K.[Koichiro], Matsunaka, H.[Hitoshi], Okami, M.[Midori], Tanaka, R.[Ryo], Nakano, H.[Hiroshi], Sakai, T.[Tetsufumi], Nakano, K.[Keiko], Ohdan, H.[Hideki], Takahashi, K.[Kimiyasu],
Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops Using Small UAVs,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902

Lang, M.[Marc], Alleaume, S.[Samuel], Luque, S.[Sandra], Baghdadi, N.[Nicolas], Féret, J.B.[Jean-Baptiste],
Complementarity between Textural and Radiometric Indices From Airborne and Spaceborne Multi VHSR Data: Disentangling the Complexity of Heterogeneous Landscape Matrix,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
Manage biodiversity. NDVI BibRef

Talebiesfandarani, S.[Somayeh], Zhao, T.[Tianjie], Shi, J.C.[Jian-Cheng], Ferrazzoli, P.[Paolo], Wigneron, J.P.[Jean-Pierre], Zamani, M.[Mehdi], Pani, P.[Peejush],
Microwave Vegetation Index from Multi-Angular Observations and Its Application in Vegetation Properties Retrieval: Theoretical Modelling,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Dimitrov, P.[Petar], Dong, Q.[Qinghan], Eerens, H.[Herman], Gikov, A.[Alexander], Filchev, L.[Lachezar], Roumenina, E.[Eugenia], Jelev, G.[Georgi],
Sub-Pixel Crop Type Classification Using PROBA-V 100 m NDVI Time Series and Reference Data from Sentinel-2 Classifications,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906

Maselli, F., Chiesi, M., Pieri, M.,
A New Method to Enhance the Spatial Features of Multitemporal NDVI Image Series,
GeoRS(57), No. 7, July 2019, pp. 4967-4979.
Vegetation mapping, Spatial resolution, MODIS, Indexes, Spatiotemporal phenomena, Sensors, Remote sensing, Sequential Maximum Angle Convex Cone (SMACC) BibRef

Filgueiras, R.[Roberto], Mantovani, E.C.[Everardo Chartuni], Althoff, D.[Daniel], Fernandes Filho, E.I.[Elpídio Inácio], França da Cunha, F.[Fernando],
Crop NDVI Monitoring Based on Sentinel 1,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907

Balzarolo, M.[Manuela], Peñuelas, J.[Josep], Veroustraete, F.[Frank],
Influence of Landscape Heterogeneity and Spatial Resolution in Multi-Temporal In Situ and MODIS NDVI Data Proxies for Seasonal GPP Dynamics,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Gholamnia, M.[Mehdi], Khandan, R.[Reza], Bonafoni, S.[Stefania], Sadeghi, A.[Ali],
Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran),
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

McGwire, K.C.[Kenneth C.],
Optimized Stratification for Mapping Riparian Vegetation in Arid and Semiarid Environments,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
Using NDVI. BibRef

Colditz, R.R., Villanueva, V.L.A., Tecuapetla-Gómez, I., Gómez Mendoza, L.,
Temporal relationships between daily precipitation and NDVI time series in Mexico,
atmospheric precipitation, rain, time series, vegetation, correlation coefficients, Precipitation BibRef

Lopes, M., Fauvel, M., Ouin, A., Girard, S.,
Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices,
regression analysis, time series, vegetation, vegetation mapping, NDVI time series, SPOT5 Take5, SPOT5 time series, high resolution time series BibRef

León-Tavares, J., Swinnen, E., Smets, B., Roujean, J.L.,
Angular normalisation of PROBA-V 300m NDVI,
vegetation, Copernicus global land service, MSG-SEVIRI NDVI angular normalised time series, Vegetation mapping BibRef

Colditz, R.R., Ressl, R.A., Bonilla-Moheno, M.,
Trends in 15-year MODIS NDVI time series for Mexico,
land cover BibRef

Pirotti, F., Parraga, M.A., Sturaro, E., Dubbini, M., Masiero, A., Ramanzin, M.,
NDVI from Landsat 8 Vegetation Indices to Study Movement Dynamics of Capra Ibex in Mountain Areas,
DOI Link 1404

Ali, A., de Bie, C.A.J.M., Scarrott, R.G., Ha, N.T.T., Skidmore, A.K.,
Comparative Performance Analysis Of A Hyper-temporal NDVI Analysis Approach and a Landscape-Ecological Mapping Approach,
AnnalsPRS(I-7), No. 2012, pp. 105-110.
HTML Version. 1209

Ding, S., Rulinda, C.M., Stein, A., Bijker, W.,
NDVI time series and Markov chains to model the change of fuzzy vegetative drought classes,

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Land Cover Change Analysis, Longer Term, Seasonal, Annual Variations, Climate Change, Analysis .

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