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Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity.

Authors :
Huang, Chong
Zhang, Chenchen
Pettorelli, Nathalie
to Bühne, Henrike Schulte
Source :
Remote Sensing in Ecology & Conservation; Aug2023, Vol. 9 Issue 4, p454-468, 15p
Publication Year :
2023

Abstract

Large river deltas are usually ecologically important wetland habitats, but also fertile agricultural exploitation areas, creating a conflict of long‐running substantial interest between agricultural expansion and wetland conservation. Over the past several years, large‐scale cultivation of water‐consuming rice has been growing rapidly in the semi‐arid climate of the Yellow River Delta (YRD). Timely monitoring of rice cultivation dynamics is of great significance for sustainable ecological conservation of the delta, which has insufficient freshwater resources. This study proposed a stratified metrics‐based method that integrates statistical spectral indices and phenological metrics at different growing stages to improve the accuracy of rice paddy classification in areas where rice and wetlands coexist. We applied the method to time‐series Sentinel‐1/2 images to produce annual rice paddy maps of the YRD from 2016 to 2021. Together with rice paddy data from 2011 to 2015 from Statistical Yearbooks of Dongying Bureau of Statistics, we investigated the expansion dynamics over the past decade and in this paper discuss the advantages and disadvantages of rice cultivation expansion over wetland ecosystem conservation. Rapid expansion of rice cultivation intensifies water conflicts, and adversely affects wetland restoration in the YRD. Considering the important ecological services of rice paddies as alternative habitats, we argue for maintaining a reasonable scale of rice paddies and optimizing their distribution as a potential solution to achieving the overall sustainable conservation of the YRD in the context of water scarcity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20563485
Volume :
9
Issue :
4
Database :
Complementary Index
Journal :
Remote Sensing in Ecology & Conservation
Publication Type :
Academic Journal
Accession number :
170725246
Full Text :
https://doi.org/10.1002/rse2.320