Assessing vegetation condition across topography in Nainital district, India using temperature vegetation dryness index model

被引:5
|
作者
Sharma, Yatendra [1 ]
Ahmed, Raihan [2 ]
Sajjad, Haroon [1 ]
机构
[1] Jamia Millia Islamia, Fac Nat Sci, Dept Geog, New Delhi, India
[2] Nowgong Coll, Dept Geog, Nagaon 782001, India
关键词
Vegetation condition; TVDI; LST; NDVI; Nainital; CLIMATE-CHANGE; SOIL-MOISTURE; AGRICULTURAL DROUGHT; WETLAND CONDITION; WATER-RESOURCES; LAND-COVER; CHINA; BIODIVERSITY; IMPACT; NDVI;
D O I
10.1007/s40808-021-01208-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate variability induced changes in rainfall and temperature have degraded the health of vegetation across the world. Thus, monitoring of vegetation condition is essential for maintaining ecosystem health, climate sustainability and biodiversity. This article examines vegetation condition in Nainital district located in Kumaon foothills in India during 1991-2019. We utilized satellite data-based temperature vegetation dryness index (TVDI) model for assessing vegetation condition. Surface moisture index and bare soil index were used for validating TVDI. Findings revealed an increasing trend in land surface temperature and decreasing trend in surface moisture content. It was also found that area under bare soil has increased considerably indicating decrease in vegetation cover. Marked variations in vegetation condition were observed during the study period due to varied topography, direction and gradient of slope and variation in rainfall. TVDI has proved to be effective tool for assessing vegetation condition. Future studies in different geographical regions may find this assessment approach useful.
引用
收藏
页码:2167 / 2181
页数:15
相关论文
共 50 条
  • [1] Assessing vegetation condition across topography in Nainital district, India using temperature vegetation dryness index model
    Yatendra Sharma
    Raihan Ahmed
    Haroon Sajjad
    [J]. Modeling Earth Systems and Environment, 2022, 8 : 2167 - 2181
  • [2] Drought Monitoring Using the Modified Temperature/Vegetation Dryness Index
    Li, Binyong
    Tang, Haiping
    Chen, Donghua
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2912 - 2916
  • [3] The application study of using temperature vegetation dryness index in regional drought monitoring
    Zhang, Yeping
    Zhang, Mingwei
    Zhu, Xiaoxiang
    Fan, Jinlong
    Zhang, Yuanyuan
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XI, 2009, 7472
  • [4] Dynamic Drought Monitoring in Guangxi Using Revised Temperature Vegetation Dryness Index
    LU Yuan1
    2. Faculty of Resources and Environmental Sciences
    [J]. Wuhan University Journal of Natural Sciences, 2007, (04) : 663 - 668
  • [5] Temperature-Vegetation-soil Moisture Dryness Index (TVMDI)
    Amani, Meisam
    Salehi, Bahram
    Mahdavi, Sahel
    Masjedi, Ali
    Dehnavi, Sahar
    [J]. REMOTE SENSING OF ENVIRONMENT, 2017, 197 : 1 - 14
  • [6] Assessing the Vegetation Condition Impacts of the 2011 Drought across the US Southern Great Plains Using the Vegetation Drought Response Index (VegDRI)
    Tadesse, Tsegaye
    Wardlow, Brian D.
    Brown, Jesslyn F.
    Svoboda, Mark D.
    Hayes, Michael J.
    Fuchs, Brian
    Gutzmer, Denise
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2015, 54 (01) : 153 - 169
  • [7] Monitoring monthly soil moisture conditions in China with temperature vegetation dryness indexes based on an enhanced vegetation index and normalized difference vegetation index
    Huichao Zhao
    Yi Li
    Xinguo Chen
    Haoran Wang
    Ning Yao
    Fenggui Liu
    [J]. Theoretical and Applied Climatology, 2021, 143 : 159 - 176
  • [8] Monitoring monthly soil moisture conditions in China with temperature vegetation dryness indexes based on an enhanced vegetation index and normalized difference vegetation index
    Zhao, Huichao
    Li, Yi
    Chen, Xinguo
    Wang, Haoran
    Yao, Ning
    Liu, Fenggui
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 143 (1-2) : 159 - 176
  • [9] Evaluation of Temperature Vegetation Dryness Index on Drought Monitoring Over Eurasia
    Shi, Siqi
    Yao, Fengmei
    Zhang, Jiahua
    Yang, Shanshan
    [J]. IEEE ACCESS, 2020, 8 : 30050 - 30059
  • [10] Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China
    Wei, Wei
    Pang, Sufei
    Wang, Xufeng
    Zhou, Liang
    Xie, Binbin
    Zhou, Junju
    Li, Chuanhua
    [J]. REMOTE SENSING OF ENVIRONMENT, 2020, 248