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
  • [21] Analysis of Agricultural Drought in East Java']Java Using Vegetation Health Index
    Amalo, Luisa Febrina
    Hidayat, Rahmat
    Sulma, Sayidah
    AGRIVITA, 2018, 40 (01): : 63 - 73
  • [22] Agricultural drought assessment using vegetation indices derived from MODIS time series in Tehran Province
    Mohammadjavad Hashemzadeh Ghalhari
    Mehdi Vafakhah
    Ali Akbar Damavandi
    Arabian Journal of Geosciences, 2022, 15 (5)
  • [23] Characterization and Evaluation of MODIS-Derived Crop Water Stress Index (CWSI) for Monitoring Drought from 2001 to 2017 over Inner Mongolia
    Ma, Zi-Ce
    Sun, Peng
    Zhang, Qiang
    Hu, Yu-Qian
    Jiang, Wei
    SUSTAINABILITY, 2021, 13 (02) : 1 - 17
  • [24] Analyzing the 2007 drought of Poyang Lake Watershed with MODIS-derived Normalized Difference Water Deviation Index
    Zhang, Wenjiang
    Cao, Xiaoming
    Peng, Jian
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY V, 2008, 7083
  • [25] Retrieval and spatiotemporal variation of total suspended matter concentration using a MODIS-derived hue angle in the coastal waters of Qinhuangdao, China
    Wang, Lin
    Wang, Xiang
    Meng, Qinghui
    Chen, Yanlong
    Wang, Xinxin
    Jiang, Lingling
    Shang, Yuhao
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [26] Agricultural Drought Detection with MODIS Based Vegetation Health Indices in Southeast Germany
    Kloos, Simon
    Yuan, Ye
    Castelli, Mariapina
    Menzel, Annette
    REMOTE SENSING, 2021, 13 (19)
  • [27] Optimizing the Vegetation Health Index for Agricultural Drought Monitoring: Evaluation and Application in the Yellow River Basin
    Hang, Qinghou
    Guo, Hao
    Meng, Xiangchen
    Wang, Wei
    Cao, Ying
    Liu, Rui
    De Maeyer, Philippe
    Wang, Yunqian
    REMOTE SENSING, 2024, 16 (23)
  • [28] MODIS-derived green Noctiluca blooms in the upper Gulf of Thailand: Algorithm development and seasonal variation mapping
    Luang-on, Jutarak
    Ishizaka, Joji
    Buranapratheprat, Anukul
    Phaksopa, Jitraporn
    Goes, Joaquim I.
    Maure, Eligio de Raus
    Siswanto, Eko
    Zhu, Yuanli
    Xu, Qian
    Nakornsantiphap, Phattaranakorn
    Kobayashi, Hiroshi
    Matsumura, Satsuki
    FRONTIERS IN MARINE SCIENCE, 2023, 10
  • [29] Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data
    Patel, N. R.
    Parida, B. R.
    Venus, V.
    Saha, S. K.
    Dadhwal, V. K.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2012, 184 (12) : 7153 - 7163
  • [30] Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data
    N. R. Patel
    B. R. Parida
    V. Venus
    S. K. Saha
    V. K. Dadhwal
    Environmental Monitoring and Assessment, 2012, 184 : 7153 - 7163