Monitoring spatiotemporal and seasonal variation of agricultural drought in Bangladesh using MODIS-derived vegetation health index

被引:0
|
作者
Md Kamal Hosen
Md Shaharier Alam
Torit Chakraborty
Md Rony Golder
机构
[1] Asian Disaster Preparedness Center,Geospatial Information Department
[2] Florida State University,Department of Geography
[3] New Mexico State University,Department of Geography
[4] Khulna University,Fisheries and Marine Resource Technology Discipline
关键词
Agricultural drought; MODIS; Vegetation Health Index; seasonal droughts; Google Earth Engine;
D O I
暂无
中图分类号
学科分类号
摘要
Drought is one of the most menacing calamities confronted by agrarian economy-dependent countries. Monitoring drought can be valuable in lessening the long-term impacts on food security and achieving zero hunger. This research monitored the spatio-temporal variation of agricultural droughts in Bangladesh from 2000 to 2020, using the MODIS-derived vegetation health index. Several MODIS-derived indices were also calculated using the Google Earth Engine. The droughts are measured based on three cropping seasons in Bangladesh, including Kharif-1 (mid-May to mid-June), Kharif-2 (mid-June to mid-October), and Rabi (mid-October to mid-May). During the Rabi season, agricultural droughts peaked in 2000 and 2008, when around 90.90% and 68.12% of the area was under drought conditions, respectively. Bangladesh faced droughts during the Kharif-1 season in 2001, 2006, and 2014, when 79.84%, 72.35%, and 66.06% of areas suffered droughts, respectively. The Kharif-2 season drought was highest during 2002, 2009, and 2014 when around 46.76%, 42.67%, and 40.64% of areas in Bangladesh encountered droughts, respectively. A declining trend in drought was noticed in recent years during the Rabi and Kharif-1 seasons, whereas a continuous trend was noticed in the Kharif-2 season. This research can be crucial for agronomic planners to devise plans effectively and alleviate the potential effects of droughts.
引用
收藏
相关论文
共 50 条
  • [1] Monitoring spatiotemporal and seasonal variation of agricultural drought in Bangladesh using MODIS-derived vegetation health index
    Hosen, Md Kamal
    Alam, Md Shaharier
    Chakraborty, Torit
    Golder, Md Rony
    JOURNAL OF EARTH SYSTEM SCIENCE, 2023, 132 (04)
  • [2] Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought
    Li Hua-peng
    Zhang Shu-qing
    Gao Zi-qiang
    Sun Yan
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (03) : 756 - 761
  • [3] Evaluating the Spatiotemporal Variation of Agricultural Droughts in Bangladesh Using MODIS-based Vegetation Indices
    Mamun, Md Abdullah Al
    Alauddin, Mohammed
    Meraj, Gowhar
    Almazroui, Mansour
    Ehsan, Muhammad Azhar
    EARTH SYSTEMS AND ENVIRONMENT, 2024, 8 (04) : 997 - 1010
  • [4] Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring
    Lu, Linlin
    Kuenzer, Claudia
    Wang, Cuizhen
    Guo, Huadong
    Li, Qingting
    REMOTE SENSING, 2015, 7 (06) : 7597 - 7614
  • [5] Application of LISS III and MODIS-derived vegetation indices for assessment of micro-level agricultural drought
    Palchaudhuri, Moumita
    Biswas, Sujata
    EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2020, 23 (02): : 221 - 229
  • [6] Evaluating the spatiotemporal characteristics of agricultural drought in bangladesh using effective drought index
    Kamruzzaman M.
    Hwang S.
    Cho J.
    Jang M.-W.
    Jeong H.
    Water (Switzerland), 2019, 11 (12):
  • [7] Evaluating the Spatiotemporal Characteristics of Agricultural Drought in Bangladesh Using Effective Drought Index
    Kamruzzaman, Mohammad
    Hwang, Syewoon
    Cho, Jaepil
    Jang, Min-Won
    Jeong, Hanseok
    WATER, 2019, 11 (12)
  • [8] Modeling and mapping the spatiotemporal variation in agricultural drought based on a satellite-derived vegetation health index across the highlands of Ethiopia
    Chere, Zerihun
    Abegaz, Assefa
    Tamene, Lulseged
    Abera, Wuletawu
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2022, 8 (04) : 4539 - 4552
  • [9] Modeling and mapping the spatiotemporal variation in agricultural drought based on a satellite-derived vegetation health index across the highlands of Ethiopia
    Zerihun Chere
    Assefa Abegaz
    Lulseged Tamene
    Wuletawu Abera
    Modeling Earth Systems and Environment, 2022, 8 : 4539 - 4552
  • [10] Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China
    X. Q. Zhang
    Y. Yamaguchi
    Natural Hazards, 2014, 74 : 2129 - 2145