Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India

被引:1
作者
Priyadarshi, Niraj [1 ]
Pathak, Suparn [1 ]
Chakraborty, Debasish [1 ]
Chowdary, Vemuri Muthayya [2 ]
Srivastav, Sushil Kumar [3 ]
Kamalakannan, Chandrasekar [2 ]
Chockalingam, Jeganathan [4 ]
Bandyopadhyay, Soumya [5 ]
机构
[1] ISRO, Reg Remote Sensing Ctr East, NRSC, Kolkata, India
[2] ISRO, Natl Remote Sensing Ctr NRSC, Hyderabad, India
[3] ISRO, Reg Remote Sensing Ctr North, NRSC, New Delhi, India
[4] Birla Inst Technol, Dept Remote Sensing, Mesra BIT Mesra, Ranchi, India
[5] Indian Space Res Org Headquarters, Bengaluru, India
关键词
Time series EVI; phenology; HANTS; inflection points; Mann-Kendall test; Sen's slope; MODIS; VARIABILITY; FORESTS; PATTERN; NDVI;
D O I
10.1080/14498596.2023.2281926
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This study used 18 years (2001-2018) of Moderate Resolution Imaging Spectroradiometer-based Enhanced Vegetation Index products over Jharkhand state to extract phenology metrics based on Harmonic Analysis of the Time-Series algorithm. Results revealed that majorly Start of Season (SoS) occurred during April to June, End of Season (EoS) during December to February, and Peak of Season (PoS) during August to September in the forested areas. Trend analysis of SoS, PoS and EoS revealed advancement in 3891 Km(2), 2627 Km(2), and 3486 Km(2) and delay in 5447 Km(2), 5953 Km(2), and 8265 Km(2) of the study area.
引用
收藏
页码:721 / 743
页数:23
相关论文
共 48 条
[31]   A globally coherent fingerprint of climate change impacts across natural systems [J].
Parmesan, C ;
Yohe, G .
NATURE, 2003, 421 (6918) :37-42
[32]   Annual and interannual (ENSO) variability of spatial scaling properties of a vegetation index (NDVI) in Amazonia [J].
Poveda, G ;
Salazar, LF .
REMOTE SENSING OF ENVIRONMENT, 2004, 93 (03) :391-401
[33]   Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products [J].
Priyadarshi, Niraj ;
Chowdary, V. M. ;
Chandrasekar, K. ;
Chockalingam, Jeganathan ;
Bandyopadhyay, Soumya ;
Srivastava, Y. K. ;
Dutta, D. ;
Neeti, Neeti ;
Jha, Chandra Shekhar .
GEOCARTO INTERNATIONAL, 2021, 37 (25) :9767-9787
[34]   Wavelet and non-parametric statistical based approach for long term land cover trend analysis using time series EVI data [J].
Priyadarshi, Niraj ;
Chowdary, V. M. ;
Das, Iswar Chandra ;
Chockalingam, Jeganathan ;
Srivastava, Y. K. ;
Rao, G. Srinivasa ;
Raj, Uday ;
Jha, Chandra Shekhar .
GEOCARTO INTERNATIONAL, 2020, 35 (05) :512-534
[35]   Reconstruction of time series MODIS EVI data using de-noising algorithms [J].
Priyadarshi, Niraj ;
Chowdary, V. M. ;
Srivastava, Y. K. ;
Das, Iswar Chandra ;
Jha, Chandra Shekhar .
GEOCARTO INTERNATIONAL, 2018, 33 (10) :1095-1113
[36]   Reconstructing cloudfree NDVI composites using Fourier analysis of time series [J].
Roerink, GJ ;
Menenti, M ;
Verhoef, W .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (09) :1911-1917
[37]   MODIS-VCF Based Forest Change Analysis in the State of Jharkhand [J].
Sarif, Md. Omar ;
Jeganathan, C. ;
Mondal, Saptarshi .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES, 2017, 87 (04) :751-767
[38]  
SEN PK, 1968, J AM STAT ASSOC, V63, P1379
[39]   The relationship between central Indian terrestrial vegetation and monsoon rainfall distributions in different hydroclimatic extreme years using time-series satellite data [J].
Singh, B. ;
Jeganathan, C. ;
Rathore, V. S. ;
Atkinson, P. M. ;
Behera, M. D. ;
Singh, C. P. ;
Dash, J. ;
Roy, P. S. .
THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (01) :45-69
[40]   Resilience of the Central Indian Forest Ecosystem to Rainfall Variability in the Context of a Changing Climate [J].
Singh, Beependra ;
Jeganathan, Chockalingam ;
Rathore, Virendra Singh ;
Behera, Mukunda Dev ;
Singh, Chandra Prakash ;
Roy, Parth Sarathi ;
Atkinson, Peter M. .
REMOTE SENSING, 2021, 13 (21)