Spatio-Temporal Forest Change Assessment Using Time Series Satellite Data in Palamu District of Jharkhand, India

被引:4
|
作者
Singh, Beependra [1 ]
Jeganathan, C. [2 ]
机构
[1] Indian Inst Sci, Ctr Ecol Sci, Bangalore 560012, Karnataka, India
[2] Birla Inst Technol, Dept Remote Sensing, Ranchi 835215, Bihar, India
关键词
Forest change; Anomaly; Time series; MODIS; EVI; Palamu district; COVER CHANGE DETECTION; CLIMATE-CHANGE; VEGETATION; DROUGHT; REGION;
D O I
10.1007/s12524-015-0538-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Free availability of time-series satellite data enabled the current study to quantify decadal macro-variations (i.e., trend and percent change) in vegetation vigour in the forested environment of Palamu district based on 11 years (2001 to 2011) of fortnightly data of Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI; 250 m). Further, Landsat ETM+ data of year 2001 and 2011 were also used to extract micro-level changes and as a validation reference. The inter-year comparison about standard anomalies revealed an alarming situation about persistent stress in the vegetation, especially after 2008. However, the degradation rate is slow as per anomaly frequency but steadily increasing after 2008. The study estimated that there is a loss of 293 km(2) forest which is close to the FSI estimate of 333 km(2). The current study provides a quick mechanism to reveal the spatial pattern of temporal changes in the forested region with reliable and reproducible methods.
引用
收藏
页码:573 / 581
页数:9
相关论文
共 50 条
  • [1] Spatio-Temporal Forest Change Assessment Using Time Series Satellite Data in Palamu District of Jharkhand, India
    Beependra Singh
    C. Jeganathan
    [J]. Journal of the Indian Society of Remote Sensing, 2016, 44 : 573 - 581
  • [2] Spatio-temporal change - An analytical geospatial study using satellite data - Farakka block, Murshidabad district, West Bengal (India)
    Roy, Subham Kumar
    Shaikha, Abdus Sattar
    [J]. TRIA-TERRITORIO DELLA RICERCA SU INSEDIAMENTI E AMBIENTE, 2021, 14 (02) : 111 - 126
  • [3] Urban green spatio-temporal changes assessment through time-series satellite data
    Zoran, Maria A.
    Savastru, Roxana S.
    Savastru, Dan M.
    Tautan, Marina N.
    Baschir, Laurentiu A.
    [J]. EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS VI, 2015, 9644
  • [4] Spatio-Temporal Characterization in Satellite Image Time Series
    Radoi, Anamaria
    Datcu, Mihai
    [J]. 2015 8TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTI-TEMP), 2015,
  • [5] Spatio-Temporal Clustering and Active Learning for Change Classification in Satellite Image Time Series
    Debonnaire, Nicolas
    Stumpf, Andre
    Puissant, Anne
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (08) : 3642 - 3650
  • [6] Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements
    Sett, Triparna
    Nandy, Subrata
    Patel, N. R.
    Padalia, Hitendra
    Srinet, Ritika
    Watham, Taibanganba
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2023, 548
  • [7] Spatio-Temporal Urban Change Mapping With Time-Series SAR Data
    Che, Meiqin
    Vizziello, Anna
    Gamba, Paolo
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 7222 - 7234
  • [8] Spatio-temporal reasoning for the classification of satellite image time series
    Petitjean, Francois
    Kurtz, Camille
    Passat, Nicolas
    Gancarski, Pierre
    [J]. PATTERN RECOGNITION LETTERS, 2012, 33 (13) : 1805 - 1815
  • [9] A SPATIO-TEMPORAL AUTOCORRELATION CHANGE DETECTION APPROACH USING HYPER-TEMPORAL SATELLITE DATA
    Kleynhans, W.
    Salmon, B. P.
    Wessels, K. J.
    Olivier, J. C.
    [J]. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 3459 - 3462
  • [10] A NOVEL SPATIO-TEMPORAL CHANGE DETECTION APPROACH USING HYPER-TEMPORAL SATELLITE DATA
    Kleynhans, W.
    Salmon, B. P.
    Wessels, K. J.
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,