IrriMap_CN: Annual irrigation maps across China in 2000–2019 based on satellite observations, environmental variables, and machine learning

灌溉 环境科学 中国 遥感 卫星 卫星图像 气象学 地理 生态学 考古 航空航天工程 工程类 生物
作者
Chao Zhang,Jinwei Dong,Quansheng Ge
出处
期刊:Remote Sensing of Environment [Elsevier BV]
卷期号:280: 113184-113184 被引量:38
标识
DOI:10.1016/j.rse.2022.113184
摘要

Agricultural irrigation, as an important practice to protect crops from drought and promote grain yield, has a long history in China. A timely and precise dataset about the extent and dynamics of irrigated areas is necessary for water allocation and agricultural management but is scarce in China. Here we developed annual irrigated cropland maps across China (IrriMap_CN) at 500-m resolution from 2000 to 2019, using MODIS data, machine-learning method, and Google Earth Engine platform. First, we generated annual nationwide training samples by strictly screening the existing irrigation maps downscaled from the statistical data. Second, we implemented locally adaptive random forest classifiers in 511 nominal 1° × 1° grid cells across China with MODIS vegetation indices, climatic factors, and topography variables. Third, we conducted nationwide pixel-wise validation of the IrriMap_CN using independent samples. The validation results based on more than 3000 ground truth points revealed that IrriMap_CN had high accuracies ranging from 77.2% to 85.9%. The time series of IrriMap_CN detected substantial expansion of irrigated areas in Xinjiang and Heilongjiang (more than 50% in total) and pronounced decreases in Sichuan, Jiangsu, and Hebei. The analyses of irrigation frequency, start time, and end time implied that North China Plain was the most intensive irrigated area; but the irrigation area showed a decreasing trend since 2000, consistent with the reduced agricultural water consumption. The annual irrigation datasets allow us to understand the spatiotemporal dynamics of irrigated croplands in China and are expected to contribute to the improvement of earth system models and facilitate sustainable agricultural water management. • Annual irrigation maps (IrriMap_CN) were generated for China in 2000–2019. • Nationwide training samples were extracted from existing irrigation maps. • IrriMap_CN highlights the declining irrigation area in North China Plain. • Cropland reclamation/occupation and water supply are key to irrigation area changes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
AGRA发布了新的文献求助10
1秒前
翟淑雨完成签到,获得积分10
1秒前
强健的幼南完成签到,获得积分10
4秒前
华仔应助jiuwu采纳,获得10
4秒前
踏实麦片发布了新的文献求助10
5秒前
西蜀小吏发布了新的文献求助10
5秒前
7秒前
李健的小迷弟应助lsh采纳,获得10
7秒前
心灵美凝竹完成签到 ,获得积分10
7秒前
阳阳阳完成签到 ,获得积分10
7秒前
cdercder应助g13186367532采纳,获得10
8秒前
大个应助不一样的烟火采纳,获得30
8秒前
丘比特应助li采纳,获得10
9秒前
9秒前
呼呼呼发布了新的文献求助10
11秒前
zxd1999完成签到,获得积分10
11秒前
小刘同学完成签到,获得积分10
11秒前
Hanxu发布了新的文献求助10
12秒前
诚心香菇应助bubu采纳,获得10
13秒前
lsh完成签到,获得积分10
14秒前
14秒前
zdsq发布了新的文献求助10
15秒前
bkagyin应助两重月采纳,获得10
16秒前
BigTong应助呆头鹅采纳,获得10
17秒前
Roya完成签到,获得积分10
17秒前
19秒前
19秒前
19秒前
19秒前
小蘑菇应助li采纳,获得10
20秒前
yoyo完成签到 ,获得积分10
21秒前
21秒前
长安完成签到,获得积分0
21秒前
自信的芝麻完成签到,获得积分10
21秒前
21秒前
素素素发布了新的文献求助20
22秒前
无花果应助西北一枝花采纳,获得10
23秒前
马铭泽发布了新的文献求助10
23秒前
23秒前
24秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7262171
求助须知:如何正确求助?哪些是违规求助? 8883538
关于积分的说明 18774069
捐赠科研通 6941399
什么是DOI,文献DOI怎么找? 3202412
关于科研通互助平台的介绍 2375640
邀请新用户注册赠送积分活动 2178094