A basin-scale inventory and hydrodynamics of floodplain wetlands based on time-series of remote sensing data

被引:8
|
作者
Singh, Manudeo [1 ]
Sinha, Rajiv [1 ]
机构
[1] Indian Inst Technol, Dept Earth Sci, Kanpur 208016, Uttar Pradesh, India
关键词
LONG-TERM; WATER;
D O I
10.1080/2150704X.2021.1980919
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The world is rapidly losing its wetlands. To contain the loss, the first and foremost requirement is to prepare an inventory of wetlands based on historical datasets. Individual wetlands in a catchment system are not standalone entitites, and together, they control the hydrological processes of the catchment. Therefore, it is essential to map the wetlands at the catchment scale to understand their relationship with the adjoining water bodies. This will further help to develop sustainable strategies for their revival and management. In the present work, we have formulated a simple yet robust method to (a) map the wetlands and (b) document surface dynamics of wetlands by applying pixel-scale binary logic (wet/not-wet) to the time-series Landsat dataset. We have applied this method to a large basin in the Ganga Plains and mapped a total of 3226 wetlands in the basin. The method can also be applied to map wetlands at a pixel scale to a basin scale.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [31] BASIN-SCALE ESTIMATES OF OCEANIC PRIMARY PRODUCTION BY REMOTE-SENSING - THE NORTH-ATLANTIC
    PLATT, T
    CAVERHILL, C
    SATHYENDRANATH, S
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1991, 96 (C8) : 15147 - 15159
  • [32] REMOTE-SENSING OF AUSTRALIAN WETLANDS - AN EVALUATION OF LANDSAT TM DATA FOR INVENTORY AND CLASSIFICATION
    JOHNSTON, RM
    BARSON, MM
    [J]. AUSTRALIAN JOURNAL OF MARINE AND FRESHWATER RESEARCH, 1993, 44 (02): : 235 - 252
  • [33] DETECTION OF COVER CROP USING TIME-SERIES REMOTE SENSING OBSERVATIONS
    Mohite, Jayantrao
    Sawant, Suryakant
    Agrawal, Rishabh
    Pandit, Ankur
    Pappula, Srinivasu
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3430 - 3433
  • [34] FEATURE ATTRIBUTION METHODS FOR MULTIVARIATE TIME-SERIES EXPLAINABILITY IN REMOTE SENSING
    Najjar, Hiba
    Helber, Patrick
    Bischke, Benjamin
    Habelitz, Peter
    Sanchez, Cristhian
    Mena, Francisco
    Miranda, Miro
    Pathak, Deepak
    Siddamsetty, Jayanth
    Arenas, Diego
    Vollmer, Michaela
    Charfuelan, Marcela
    Nuske, Marlon
    Dengel, Andreas
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 5014 - 5017
  • [35] Satellite Remote Sensing False Forest Fire Hotspot Excavating Based on Time-Series Features
    Wang, Haifeng
    Zhang, Gui
    Yang, Zhigao
    Xu, Haizhou
    Liu, Feng
    Xie, Shaofeng
    [J]. REMOTE SENSING, 2024, 16 (13)
  • [36] SAND DAM DYNAMIC MONITORING IN COASTAL AREAS BASED ON TIME-SERIES REMOTE SENSING IMAGES
    Lin, Heshan
    Xu, Jinyan
    Jiang, Degang
    Gao, Yikang
    Wei, Lianhuan
    Liu, Jianhui
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2838 - 2841
  • [37] Sequential pattern mining of land cover dynamics based on time-series remote sensing images
    Liu, Huichan
    He, Guojin
    Jiao, Weili
    Wang, Guizhou
    Peng, Yan
    Cheng, Bo
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (21) : 22919 - 22942
  • [38] Sequential pattern mining of land cover dynamics based on time-series remote sensing images
    Huichan Liu
    Guojin He
    Weili Jiao
    Guizhou Wang
    Yan Peng
    Bo Cheng
    [J]. Multimedia Tools and Applications, 2017, 76 : 22919 - 22942
  • [39] Vegetation Change of Ecotone in West of Northeast China Plain Using Time-series Remote Sensing Data
    Huang Fang
    Wang Ping
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2010, 20 (02) : 167 - 175
  • [40] BSO-SVR-based Remote Sensing Time-series Yield Estimation Model for Banana
    Zhang, Haiyang
    Zhang, Yao
    Li, Minzan
    Li, Xiuhua
    Wang, Jun
    Tian, Zezhong
    [J]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2021, 52 : 98 - 107