23.2.9.3 NDVI, Normalized Difference Vegetation Index, Changes

Chapter Contents (Back)
NDVI. Change Detection. Climate Change. Used in Climate Change analysis.

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Tian, F.[Feng], Wang, Y.J.[Yun-Jia], 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
BibRef

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
BibRef

Jiang, N.[Nan], Zhu, W.Q.[Wen-Quan], Zheng, Z.T.[Zhou-Tao], Chen, G.S.[Guang-Sheng], Fan, D.Q.[De-Qin],
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
BibRef

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
BibRef

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
BibRef

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
BibRef

Bao, G.[Gang], Qin, Z.H.[Zhi-Hao], Bao, Y.H.[Yu-Hai], 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
BibRef

Guo, E.L.[En-Liang], Wang, Y.F.[Yong-Fang], Wang, C.L.[Cai-Lin], Sun, Z.Y.[Zhong-Yi], Bao, Y.L.[Yu-Long], Mandula, N.[Naren], Jirigala, B.[Buren], Bao, Y.H.[Yu-Hai], Li, H.[He],
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

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. 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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 1509
vegetation BibRef

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
BibRef

Liu, R.,
Compositing the Minimum NDVI for MODIS Data,
GeoRS(55), No. 3, March 2017, pp. 1396-1406.
IEEE DOI 1703
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
BibRef

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.
IEEE DOI 1703
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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 1709
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. BibRef

Liao, C.H.[Chun-Hua], Wang, J.F.[Jin-Fei], Pritchard, I.[Ian], Liu, J.G.[Jian-Gui], Shang, J.L.[Jia-Li],
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Yang, J.X.[Jia-Xin], Chen, Y.M.[Yu-Min], 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
BibRef

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
BibRef

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
BibRef

Liu, B.[Boyu], Chen, J.[Jun], Chen, J.G.[Jia-Ge], Zhang, W.W.[Wei-Wei],
Land Cover Change Detection Using Multiple Shape Parameters of Spectral and NDVI Curves,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Bellón, B.[Beatriz], Bégué, A.[Agnès], Lo Seen, D.[Danny], de Almeida, C.A.[Claudio Aparecido], Simões, M.[Margareth],
A Remote Sensing Approach for Regional-Scale Mapping of Agricultural Land-Use Systems Based on NDVI Time Series,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Hu, Y.F.[Yun-Feng], Dong, Y.[Yu], Batunacun,
An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support,
PandRS(146), 2018, pp. 347-359.
Elsevier DOI 1812
Automatic update, Change detection, Land use/land cover, Time-series analysis BibRef

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
BibRef

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
BibRef

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.J.[Tian-Jie], 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
BibRef

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
BibRef

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.
IEEE DOI 1907
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
BibRef

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
BibRef

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

Ji, L.Q.[Liu-Qing], Fan, K.[Ke],
Climate Prediction of Satellite-Based Spring Eurasian Vegetation Index (NDVI) using Coupled Singular Value Decomposition (SVD) Patterns,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zhou, Y.[Yuke],
Asymmetric Behavior of Vegetation Seasonal Growth and the Climatic Cause: Evidence from Long-Term NDVI Dataset in Northeast China,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Bai, Y.Q.[Yong-Qing], Yang, Y.P.[Ya-Ping], Jiang, H.[Hou],
Intercomparison of AVHRR GIMMS3g, Terra MODIS, and SPOT-VGT NDVI Products over the Mongolian Plateau,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Recuero, L.[Laura], Litago, J.[Javier], Pinzón, J.E.[Jorge E.], Huesca, M.[Margarita], Moyano, M.C.[Maria C.], Palacios-Orueta, A.[Alicia],
Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wheeler, K.I.[Kathryn I.], Dietze, M.C.[Michael C.],
A Statistical Model for Estimating Midday NDVI from the Geostationary Operational Environmental Satellite (GOES) 16 and 17,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Sun, R.[Rui], Chen, S.H.[Shao-Hui], Su, H.B.[Hong-Bo], Mi, C.R.[Chun-Rong], Jin, N.[Ning],
The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Meng, X.Y.[Xiao-Yu], Gao, X.[Xin], Li, S.Y.[Sheng-Yu], Lei, J.Q.[Jia-Qiang],
Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982-2015,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Huang, C.[Chong], Zhang, C.C.[Chen-Chen], He, Y.[Yun], Liu, Q.S.[Qing-Sheng], Li, H.[He], Su, F.Z.[Fen-Zhen], Liu, G.H.[Gao-Huan], Bridhikitti, A.[Arika],
Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with NDVI Temporal Dynamics,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Guo, L.H.[Ling-Hui], Zuo, L.Y.[Li-Yuan], Gao, J.B.[Jiang-Bo], Jiang, Y.[Yuan], Zhang, Y.L.[Yong-Ling], Ma, S.C.[Shou-Chen], Zou, Y.F.[You-Feng], Wu, S.H.[Shao-Hong],
Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Filgueiras, R.[Roberto], Mantovani, E.C.[Everardo Chartuni], Fernandes-Filho, E.I.[Elpídio Inácio], da Cunha, F.F.[Fernando França], Althoff, D.[Daniel], Dias, S.H.B.[Santos Henrique Brant],
Fusion of MODIS and Landsat-Like Images for Daily High Spatial Resolution NDVI,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Lee, K.[Kiwon], Kim, K.[Kwangseob], Lee, S.G.[Sun-Gu], Kim, Y.[Yongseung],
Determination of the Normalized Difference Vegetation Index (NDVI) with Top-of-Canopy (TOC) Reflectance from a KOMPSAT-3A Image Using Orfeo ToolBox (OTB) Extension,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Wang, M.Y.[Ming-Yue], Fu, J.[Jun'e], Wu, Z.[Zhitao], Pang, Z.G.[Zhi-Guo],
Spatiotemporal Variation of NDVI in the Vegetation Growing Season in the Source Region of the Yellow River, China,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Szabó, L.[Loránd], Deák, B.[Balázs], Bíró, T.[Tibor], Dyke, G.J.[Gareth J.], Szabó, S.[Szilárd],
NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes: Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Tang, L.[Liang], He, M.Z.[Ming-Zhu], Li, X.R.[Xin-Rong],
Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Higginbottom, T.P.[Thomas P.], Symeonakis, E.[Elias],
Identifying Ecosystem Function Shifts in Africa Using Breakpoint Analysis of Long-Term NDVI and RUE Data,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Chen, Y., Cao, R., Chen, J., Zhu, X., Zhou, J., Wang, G., Shen, M., Chen, X., Yang, W.,
A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion,
GeoRS(58), No. 7, July 2020, pp. 5179-5194.
IEEE DOI 2006
Earth, Artificial satellites, Remote sensing, MODIS, Spatiotemporal phenomena, Data integration, Spatial resolution, VIIRS NDVI BibRef

Xu, D.D.[Dan-Dan], An, D.[Deshuai], Guo, X.[Xulin],
The Impact of Non-Photosynthetic Vegetation on LAI Estimation by NDVI in Mixed Grassland,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Obata, K.[Kenta], Yoshioka, H.[Hiroki],
A Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and Limitations in Japan,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef
And: Correction: RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Malamiri, H.R.G.[Hamid Reza Ghafarian], Zare, H.[Hadi], Rousta, I.[Iman], Olafsson, H.[Haraldur], Verdiguier, E.I.[Emma Izquierdo], Zhang, H.[Hao], Mushore, T.D.[Terence Darlington],
Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Zhang, H.[Hao], Ma, J.Y.[Jia-Yi], Chen, C.[Chen], Tian, X.[Xin],
NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing,
PandRS(168), 2020, pp. 182-196.
Elsevier DOI 2009
NDVI, Image fusion, Attention mechanism, Deep learning, Pan-sharpening BibRef

Ryu, J.H.[Jae-Hyun], Na, S.I.[Sang-Il], Cho, J.[Jaeil],
Inter-Comparison of Normalized Difference Vegetation Index Measured from Different Footprint Sizes in Cropland,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Xing, X.G.[Xue-Gang], Yan, C.Z.[Chang-Zhen], Jia, Y.Y.[Yan-Yan], Jia, H.W.[Hao-Wei], Lu, J.F.[Jun-Feng], Luo, G.J.[Guang-Jie],
An Effective High Spatiotemporal Resolution NDVI Fusion Model Based on Histogram Clustering,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Chen, T.[Ting], Xia, J.[Jun], Zou, L.[Lei], Hong, S.[Si],
Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Guo, Y.N.[Yang-Nan], Wang, C.J.[Cang-Jiao], Lei, S.G.[Shao-Gang], Yang, J.Z.[Jun-Zhe], Zhao, Y.[Yibo],
A Framework of Spatio-Temporal Fusion Algorithm Selection for Landsat NDVI Time Series Construction,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Lin, X.N.[Xing-Na], Niu, J.Z.[Jian-Zhi], Berndtsson, R.[Ronny], Yu, X.X.[Xin-Xiao], Zhang, L.[Linus], Chen, X.W.[Xiong-Wen],
NDVI Dynamics and Its Response to Climate Change and Reforestation in Northern China,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Ruan, Z.[Zhu], Kuang, Y.Q.[Yao-Qiu], He, Y.[Yeyu], Zhen, W.[Wei], Ding, S.[Song],
Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wang, Y.T.[Yi-Ting], Xie, D.H.[Dong-Hui], Zhan, Y.G.[Ying-Gang], Li, H.[Huan], Yan, G.J.[Guang-Jian], Chen, Y.Y.[Yuan-Yuan],
Assessing the Accuracy of Landsat-MODIS NDVI Fusion with Limited Input Data: A Strategy for Base Data Selection,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Yu, W.T.[Wen-Tao], Li, J.[Jing], Liu, Q.H.[Qin-Huo], Zhao, J.[Jing], Dong, Y.D.[Ya-Dong], Zhu, X.R.[Xin-Ran], Lin, S.R.[Shang-Rong], Zhang, H.[Hu], Zhang, Z.X.[Zhao-Xing],
Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Rivas-Tabares, D.A.[David Andrés], Saa-Requejo, A.[Antonio], Martín-Sotoca, J.J.[Juan José], Tarquis, A.M.[Ana María],
Multiscaling NDVI Series Analysis of Rainfed Cereal in Central Spain,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Nomura, R.[Ryota], Oki, K.[Kazuo],
Downscaling of MODIS NDVI by Using a Convolutional Neural Network-Based Model with Higher Resolution SAR Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Towers, P.C.[Pedro C.], Poblete-Echeverría, C.[Carlos],
Effect of the Illumination Angle on NDVI Data Composed of Mixed Surface Values Obtained over Vertical-Shoot-Positioned Vineyards,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

León-Tavares, J.[Jonathan], Roujean, J.L.[Jean-Louis], Smets, B.[Bruno], Wolters, E.[Erwin], Toté, C.[Carolien], Swinnen, E.[Else],
Correction of Directional Effects in VEGETATION NDVI Time-Series,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lou, J.P.[Jun-Peng], Xu, G.Y.[Guo-Yin], Wang, Z.J.[Zhong-Jing], Yang, Z.G.[Zhi-Gang], Ni, S.C.[San-Chuan],
Multi-Year NDVI Values as Indicator of the Relationship between Spatiotemporal Vegetation Dynamics and Environmental Factors in the Qaidam Basin, China,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zeng, L.L.[Ling-Lin], Wardlow, B.D.[Brian D.], Hu, S.[Shun], Zhang, X.[Xiang], Zhou, G.Q.[Guo-Qing], Peng, G.Z.[Guo-Zhang], Xiang, D.X.[Da-Xiang], Wang, R.[Rui], Meng, R.[Ran], Wu, W.X.[Wei-Xiong],
A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Tian, X.[Xin], Zhang, M.L.[Meng-Liang], Yang, C.C.[Chang-Cai], Ma, J.Y.[Jia-Yi],
FusionNDVI: A Computational Fusion Approach for High-Resolution Normalized Difference Vegetation Index,
GeoRS(59), No. 6, June 2021, pp. 5258-5271.
IEEE DOI 2106
Vegetation mapping, Indexes, Optimization, Spatial resolution, Distortion, Remote sensing, Image edge detection, Fusion, nonlocal gradient sparsity BibRef

Chen, Y.G.[Yao-Gang], Sun, Q.[Qian], Hu, J.[Jun],
Quantitatively Estimating of InSAR Decorrelation Based on Landsat-Derived NDVI,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Azevedo, O.[Olivia], Parker, T.C.[Thomas C.], Siewert, M.B.[Matthias B.], Subke, J.A.[Jens-Arne],
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Chen, Y.[Yang], Cao, R.[Ruyin], Chen, J.[Jin], Liu, L.[Licong], Matsushita, B.[Bunkei],
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky-Golay filter,
PandRS(180), 2021, pp. 174-190.
Elsevier DOI 2109
Gap-filling, Google Earth Engine, Landsat NDVI, MODIS-Landsat NDVI, Spatiotemporal fusion BibRef

Moravec, D.[David], Komárek, J.[Jan], Medina, S.L.C.[Serafín López-Cuervo], Molina, I.[Iñigo],
Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Þórðarson, A.F.[Andri Freyr], Baum, A.[Andreas], García, M.[Mónica], Vicente-Serrano, S.M.[Sergio M.], Stockmarr, A.[Anders],
Gap-Filling of NDVI Satellite Data Using Tucker Decomposition: Exploiting Spatio-Temporal Patterns,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Obata, K.[Kenta], Taniguchi, K.[Kenta], Matsuoka, M.[Masayuki], Yoshioka, H.[Hiroki],
Development and Demonstration of a Method for GEO-to-LEO NDVI Transformation,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Yang, Y.Y.[Ying-Ying], Wu, T.[Taixia], Zeng, Y.H.[Yu-Hui], Wang, S.D.[Shu-Dong],
An Adaptive-Parameter Pixel Unmixing Method for Mapping Evergreen Forest Fractions Based on Time-Series NDVI: A Case Study of Southern China,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Tsai, H.P.[Hui Ping], Wang, G.G.[Geng-Gui], Zhuang, Z.H.[Zhong-Han],
Vertical Differences in the Long-Term Trends and Breakpoints of NDVI and Climate Factors in Taiwan,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Dong, Y.[Yi], Yin, D.Q.[Dong-Qin], Li, X.[Xiang], Huang, J.X.[Jian-Xi], Su, W.[Wei], Li, X.C.[Xue-Cao], Wang, H.S.[Hong-Shuo],
Spatial-Temporal Evolution of Vegetation NDVI in Association with Climatic, Environmental and Anthropogenic Factors in the Loess Plateau, China during 2000-2015: Quantitative Analysis Based on Geographical Detector Model,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Liu, Y.[Yu], Tian, J.Y.[Ji-Yang], Liu, R.H.[Rong-Hua], Ding, L.Q.[Liu-Qian],
Influences of Climate Change and Human Activities on NDVI Changes in China,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhou, J.[Jie], Jia, L.[Li], Menenti, M.[Massimo], Liu, X.[Xuan],
Optimal Estimate of Global Biome: Specific Parameter Settings to Reconstruct NDVI Time Series with the Harmonic ANalysis of Time Series (HANTS) Method,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Li, X.Y.[Xue-Ying], Zhu, W.Q.[Wen-Quan], Xie, Z.Y.[Zhi-Ying], Zhan, P.[Pei], Huang, X.[Xin], Sun, L.X.[Li-Xin], Duan, Z.[Zheng],
Assessing the Effects of Time Interpolation of NDVI Composites on Phenology Trend Estimation,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Salvoldi, M.[Manuel], Tubul, Y.[Yaniv], Karnieli, A.[Arnon], Herrmann, I.[Ittai],
VENmuS-Derived NDVI and REIP at Different View Azimuth Angles,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Rigden, A.J.[Angela J.], Golden, C.[Christopher], Huybers, P.[Peter],
Retrospective Predictions of Rice and Other Crop Production in Madagascar Using Soil Moisture and an NDVI-Based Calendar from 2010-2017,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Gani, M.A.[Md Ataul], van der Kwast, J.[Johannes], McClain, M.E.[Michael E.], Gettel, G.[Gretchen], Irvine, K.[Kenneth],
Classification of Geomorphic Units and Their Relevance for Nutrient Retention or Export of a Large Lowland Padma River, Bangladesh: A NDVI Based Approach,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Jing, R.[Ran], Duan, F.Z.[Fu-Zhou], Lu, F.X.[Feng-Xian], Zhang, M.[Miao], Zhao, W.J.[Wen-Ji],
An NDVI Retrieval Method Based on a Double-Attention Recurrent Neural Network for Cloudy Regions,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Balata, D.[Duarte], Gama, I.[Ivo], Domingos, T.[Tiago], Proença, V.[Vânia],
Using Satellite NDVI Time-Series to Monitor Grazing Effects on Vegetation Productivity and Phenology in Heterogeneous Mediterranean Forests,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Pelta, R.[Ran], Beeri, O.[Ofer], Tarshish, R.[Rom], Shilo, T.[Tal],
Sentinel-1 to NDVI for Agricultural Fields Using Hyperlocal Dynamic Machine Learning Approach,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, C.Y.[Cui-Yan], Liu, J.Y.[Jian-Yu], Zhang, Q.[Qiang], Ci, H.[Hui], Gu, X.H.[Xi-Hui], Gulakhmadov, A.[Aminjon],
Attribution of NDVI Dynamics over the Globe from 1982 to 2015,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Perry, E.[Eileen], Sheffield, K.[Kathryn], Crawford, D.[Doug], Akpa, S.[Stephen], Clancy, A.[Alex], Clark, R.[Robert],
Spatial and Temporal Biomass and Growth for Grain Crops Using NDVI Time Series,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhou, Z.Q.[Zhao-Qiang], Ding, Y.[Yibo], Liu, S.[Suning], Wang, Y.[Yao], Fu, Q.[Qiang], Shi, H.Y.[Hai-Yun],
Estimating the Applicability of NDVI and SIF to Gross Primary Productivity and Grain-Yield Monitoring in China,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Bajocco, S.[Sofia], Ginaldi, F.[Fabrizio], Savian, F.[Francesco], Morelli, D.[Danilo], Scaglione, M.[Massimo], Fanchini, D.[Davide], Raparelli, E.[Elisabetta], Bregaglio, S.U.M.[Simone Ugo Maria],
On the Use of NDVI to Estimate LAI in Field Crops: Implementing a Conversion Equation Library,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ma, Z.M.[Zhi-Min], Dong, C.Y.[Chun-Yu], Lin, K.[Kairong], Yan, Y.[Yu], Luo, J.F.[Jian-Feng], Jiang, D.[Dingshen], Chen, X.H.[Xiao-Hong],
A Global 250-m Downscaled NDVI Product from 1982 to 2018,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Cao, R.[Ruyin], Xu, Z.[Zichao], Chen, Y.[Yang], Chen, J.[Jin], Shen, M.G.[Miao-Gen],
Reconstructing High-Spatiotemporal-Resolution (30 m and 8-Days) NDVI Time-Series Data for the Qinghai-Tibetan Plateau from 2000-2020,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ghorbanian, A.[Arsalan], Mohammadzadeh, A.[Ali], Jamali, S.[Sadegh],
Linear and Non-Linear Vegetation Trend Analysis throughout Iran Using Two Decades of MODIS NDVI Imagery,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Kang, Y.[Yao], Guo, E.L.[En-Liang], Wang, Y.F.[Yong-Fang], Bao, Y.[Yuhai], Zhao, S.X.[Shui-Xia], Runa, A.,
Spatiotemporal Variation in Compound Dry and Hot Events and Its Effects on NDVI in Inner Mongolia, China,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pompa-García, M.[Marín], Vivar-Vivar, E.D.[Eduardo D.], Sigala-Rodríguez, J.A.[José A.], Padilla-Martínez, J.R.[Jaime R.],
What Are Contemporary Mexican Conifers Telling Us? A Perspective Offered from Tree Rings Linked to Climate and the NDVI along a Spatial Gradient,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Rhif, M.[Manel], Ben Abbes, A.[Ali], Martínez, B.[Beatriz], Farah, I.R.[Imed Riadh], Gilabert, M.A.[M. Amparo],
Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region,
PandRS(193), 2022, pp. 216-233.
Elsevier DOI 2210
NDVI series, Wavelet transform, Wavelet parameters, Vegetation dynamics, Trend and seasonal changes, Mediterranean region BibRef

Mao, X.[Xin], Ren, H.L.[Hong-Li], Liu, G.[Ge],
Primary Interannual Variability Patterns of the Growing-Season NDVI over the Tibetan Plateau and Main Climatic Factors,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Wei, Z.Z.[Zhen-Zhen], Wan, X.Y.[Xiao-Yun],
Spatial and Temporal Characteristics of NDVI in the Weihe River Basin and Its Correlation with Terrestrial Water Storage,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhao, J.Z.[Jing-Zheng], Wang, L.Y.[Li-Yuan], Yang, H.[Hui], Wu, P.H.[Peng-Hai], Wang, B.[Biao], Pan, C.R.[Cheng-Rong], Wu, Y.L.[Yan-Lan],
A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Xiao, J.T.[Jiang-Tao], Huang, K.[Ke], Lin, Y.[Yang], Ren, P.[Ping], Zu, J.X.[Jia-Xing],
Assessing Vegetation Phenology across Different Biomes in Temperate China: Comparing GIMMS and MODIS NDVI Datasets,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Hu, Y.F.[Yun-Feng], Wang, H.[Hao], Niu, X.Y.[Xiao-Yu], Shao, W.[Wei], Yang, Y.C.[Yi-Chen],
Comparative Analysis and Comprehensive Trade-Off of Four Spatiotemporal Fusion Models for NDVI Generation,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhong, X.Z.[Xu-Zhen], Li, J.[Jie], Wang, J.L.[Jin-Liang], Zhang, J.P.[Jian-Peng], Liu, L.F.[Lan-Fang], Ma, J.[Jun],
Linear and Nonlinear Characteristics of Long-Term NDVI Using Trend Analysis: A Case Study of Lancang-Mekong River Basin,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, Q.[Qiang], Moreno-Martínez, Á.[Álvaro], Muñoz-Marí, J.[Jordi], Campos-Taberner, M.[Manuel], Camps-Valls, G.[Gustau],
Estimation of vegetation traits with kernel NDVI,
PandRS(195), 2023, pp. 408-417.
Elsevier DOI 2301
Vegetation index, NDVI, Kernel methods, Uncertainty quantification, Biophysical parameter estimation, Latent heat BibRef

Wu, S.L.[Shao-Lin], Di, B.F.[Bao-Feng], Ustin, S.L.[Susan L.], Wong, M.S.[Man Sing], Adhikari, B.R.[Basanta Raj], Zhang, R.X.[Rui-Xin], Luo, M.[Maoting],
Dynamic Characteristics of Vegetation Change Based on Reconstructed Heterogenous NDVI in Seismic Regions,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Dhillon, M.S.[Maninder Singh], Dahms, T.[Thorsten], Kübert-Flock, C.[Carina], Liepa, A.[Adomas], Rummler, T.[Thomas], Arnault, J.[Joel], Steffan-Dewenter, I.[Ingolf], Ullmann, T.[Tobias],
Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany,
RS(15), No. 6, 2023, pp. 1651.
DOI Link 2304
BibRef

Asam, S.[Sarah], Eisfelder, C.[Christina], Hirner, A.[Andreas], Reiners, P.[Philipp], Holzwarth, S.[Stefanie], Bachmann, M.[Martin],
AVHRR NDVI Compositing Method Comparison and Generation of Multi-Decadal Time Series: A TIMELINE Thematic Processor,
RS(15), No. 6, 2023, pp. 1631.
DOI Link 2304
BibRef

Mao, Y.J.[Yong-Jing], van Niel, T.G.[Thomas G.], McVicar, T.R.[Tim R.],
Reconstructing cloud-contaminated NDVI images with SAR-Optical fusion using spatio-temporal partitioning and multiple linear regression,
PandRS(198), 2023, pp. 115-139.
Elsevier DOI 2304
Cloud removal, SAR-optical fusing, Spatio-temporal partitioning, Google Earth Engine BibRef

Fan, X.[Xinyi], Gao, P.[Peng], Tian, B.[Biqing], Wu, C.X.[Chang-Xue], Mu, X.[Xingmin],
Spatio-Temporal Patterns of NDVI and Its Influencing Factors Based on the ESTARFM in the Loess Plateau of China,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Li, C.X.[Cai-Xia], Jia, X.[Xiang], Zhu, R.[Ruoning], Mei, X.L.[Xiao-Li], Wang, D.[Dong], Zhang, X.L.[Xiao-Li],
Seasonal Spatiotemporal Changes in the NDVI and Its Driving Forces in Wuliangsu Lake Basin, Northern China from 1990 to 2020,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Liang, J.[Jieyu], Ren, C.[Chao], Li, Y.[Yi], Yue, W.T.[Wei-Ting], Wei, Z.K.[Zhen-Kui], Song, X.H.[Xiao-Hui], Zhang, X.D.[Xu-Dong], Yin, A.[Anchao], Lin, X.Q.[Xiao-Qi],
Using Enhanced Gap-Filling and Whittaker Smoothing to Reconstruct High Spatiotemporal Resolution NDVI Time Series Based on Landsat 8, Sentinel-2, and MODIS Imagery,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Sun, M.M.[Meng-Meng], Gong, A.[Adu], Zhao, X.[Xiang], Liu, N.J.[Nai-Jing], Si, L.P.[Long-Ping], Zhao, S.Q.[Si-Qing],
Reconstruction of a Monthly 1 km NDVI Time Series Product in China Using Random Forest Methodology,
RS(15), No. 13, 2023, pp. 3353.
DOI Link 2307
BibRef

Brieva, C.[Carlos], Saco, P.M.[Patricia M.], Sandi, S.G.[Steven G.], Mora, S.[Sebastián], Rodríguez, J.F.[José F.],
NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures,
RS(15), No. 14, 2023, pp. 3615.
DOI Link 2307
BibRef

Mao, X.[Xin], Ren, H.L.[Hong-Li], Liu, G.[Ge], Su, B.[Baohuang], Sang, Y.[Yinghan],
Influence of the Indian Summer Monsoon on Inter-Annual Variability of the Tibetan-Plateau NDVI in Its Main Growing Season,
RS(15), No. 14, 2023, pp. 3612.
DOI Link 2307
BibRef

Liu, Z.S.[Zhi-Song], Chen, Y.K.[Yan-Kun], Chen, C.[Chao],
Analysis of the Spatiotemporal Characteristics and Influencing Factors of the NDVI Based on the GEE Cloud Platform and Landsat Images,
RS(15), No. 20, 2023, pp. 4980.
DOI Link 2310
BibRef

Govi, D.[David], Pappalardo, S.E.[Salvatore Eugenio], de Marchi, M.[Massimo], Meggio, F.[Franco],
From Space to Field: Combining Satellite, UAV and Agronomic Data in an Open-Source Methodology for the Validation of NDVI Maps in Precision Viticulture,
RS(16), No. 5, 2024, pp. 735.
DOI Link 2403
BibRef


Avci, I., Farzaliyev, E., Kabullar, E.,
Classification of Lands of Remote Sensitive Data by NDVI Method in Smart Agriculture,
SmartCityApp21(73-77).
DOI Link 2201
BibRef

Mohite, J.D., Sawant, S.A., Pandit, A., Pappula, S.,
Investigating the Performance of Random Forest and Support Vector Regression for Estimation of Cloud-free Ndvi Using Sentinel-1 Sar Data,
ISPRS20(B3:1379-1383).
DOI Link 2012
BibRef

Hashim, H., Abd Latif, Z., Adnan, N.A.,
Urban Vegetation Classification with NDVI Threshold Value Method With Very High Resolution (vhr) Pleiades Imagery,
GGT19(237-240).
DOI Link 1912
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,
MultiTemp17(1-4)
IEEE DOI 1712
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,
MultiTemp17(1-4)
IEEE DOI 1712
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,
MultiTemp17(1-5)
IEEE DOI 1712
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,
MultiTemp15(1-4)
IEEE DOI 1511
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,
Thematic14(147-153).
DOI Link 1404
BibRef

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.
DOI Link 1209
BibRef

Ding, S., Rulinda, C.M., Stein, A., Bijker, W.,
NDVI time series and Markov chains to model the change of fuzzy vegetative drought classes,
MultiTemp11(201-204).
IEEE DOI 1109
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis .


Last update:Mar 16, 2024 at 20:36:19