基于中分辨率成像光谱数据的塔里木河流域土壤湿度时空动态变化研究

doi:10.11988/ckyyb.20200873

院报 ›› 2022, Vol. 39 ›› Issue (1): 63-69.DOI: 10.11988/ckyyb.20200873

基于中分辨率成像光谱数据的塔里木河流域土壤湿度时空动态变化研究

杜伟宏^1,2, 吴天忠^3,4, 霍艾迪^1,2, 管文轲³, 韦红^1,2

1.长安大学水利与环境学院,西安 710054;
2.长安大学旱区地下水文与生态效应教育部重点实验室,西安 710054;
3.新疆林业科学院,乌鲁木齐 830000;
4.新疆塔里木河流域胡杨林生态系统国家定位观测研究站,乌鲁木齐 830000

收稿日期:2020-08-23 修回日期:2020-11-04 出版日期:2022-01-01 发布日期:2022-01-14
通讯作者: 吴天忠(1981-),男,新疆奇台人,助理研究员,硕士,主要从事林业生态工程研究。E-mail:278230982@qq.com
作者简介:杜伟宏(1995-), 男, 吉林白山人,硕士研究生, 主要从事水文水资源研究。E-mail: 873857455@qq.com
基金资助:
新疆林业厅科技支撑专项(2017-HY);国家自然科学基金基金项目(31760213)

Temporal and Spatial Dynamic Changes of Soil Moisture in the Main Stream of Tarim River Based on Mid Resolution Imaging Spectral Data

DU Wei-hong^1,2, WU Tian-zhong^3,4, HUO Ai-di^1,2, GUAN Wen-ke³, WEI Hong^1,2

1. School of Water & Environment, Chang'an University, Xi'an 710054, China;
2. Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, China;
3. Xinjiang Academy of Forestry, Urumqi 830000, China;
4. National Positioning and Monitoring Research Station for Riparian Populus Euphratica Forest Ecosystem in Tarim River Basin of Xinjiang, Urumqi 830000, China

Received:2020-08-23 Revised:2020-11-04 Online:2022-01-01 Published:2022-01-14

摘要/Abstract

摘要： 基于2010—2019年的MODIS卫星影像数据与实地调查,在地理信息技术的支持下,从宏观角度实现了塔里木河流域土壤湿度的遥感监测。研究结果表明,MODIS第7波段的反射率与土壤湿度呈负相关,塔里木河流域上、中、下游土壤湿度在年内空间上、时间上差异较大:通过同期不同河段的对比分析可知,塔里木河流域土壤湿度上游>中游>下游;同河段不同时期对比分析可知,塔里木河土壤湿度增加量表现为上游>中游>下游;塔里木河流域土壤(0~10 cm)湿度年内季节性变化较大,在2019年6月达到最大土壤湿度,约为6.29%,全年最低土壤湿度出现在2月份,仅为4.16%左右;近10 a来,每年2月份土壤湿度的数据变化较大, C_V均超过15%,下游的土壤湿度数据变化较大,C_V均超过15%。研究成果为探明该区域生态气候、土壤湿度提供了依据。

关键词: 土壤湿度, 动态变化, 遥感监测, MODIS, 塔里木河流域

Abstract: Based on the MODIS satellite image data and field survey from 2010 to 2019, we accomplished the remotely-sensed monitoring of soil moisture in the main stream of Tarim River from a macroscopic perspective with the support of geographic information technology. Results revealed that the reflectance of MODIS band 7 was negatively correlated with soil moisture. Soil moisture in the upper, middle and lower reaches of the main stream of Tarim River varied greatly in space and time during the year. By comparing different river reaches in the same time period, we found that the soil moisture in the upper reaches of Tarim River was higher than that in the middle reaches and that in the lower reaches in sequence. Meanwhile, by comparing different time periods of the same reach, we discovered that the increment of soil moisture in the upper reaches was larger than that in the middle reaches and lower reaches in sequence. Moisture of soil (0-10 cm) in the main stream of Tarim River varied markedly among seasons. In 2019, the maximum soil moisture (6.29%) occurred in June, while the lowest (around 4.16%) in February. In the past decade, each February and lower reaches witnessed the biggest changes in soil moisture data, with the C_V both exceeding 15%.

Key words: soil moisture, dynamic change, remotely sensed monitoring, MODIS, Tarim River basin

中图分类号:

X835

杜伟宏, 吴天忠, 霍艾迪, 管文轲, 韦红. 基于中分辨率成像光谱数据的塔里木河流域土壤湿度时空动态变化研究[J]. 院报, 2022, 39(1): 63-69.

DU Wei-hong, WU Tian-zhong, HUO Ai-di, GUAN Wen-ke, WEI Hong. Temporal and Spatial Dynamic Changes of Soil Moisture in the Main Stream of Tarim River Based on Mid Resolution Imaging Spectral Data[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(1): 63-69.

[1]	杨涵, 熊立华. 多源遥感土壤湿度产品与水文模拟结果的时空对比分析[J]. 院报, 2023, 40(8): 177-183.
[2]	祁昌贤, 任燕, 彭海月, 魏加华, 王永强, 李琼. 基于GEE云平台的三江源湖泊面积提取及动态变化[J]. 院报, 2023, 40(7): 179-185.
[3]	李鹏傲, 姜永涛, 戚鹏程, 王丽美. 南水北调中线工程水源区植被时空演化特征[J]. 院报, 2022, 39(9): 49-55.
[4]	赵秋雨, 江鹏, 朱志强, 吴艳兰. 1975—2020年环巢湖湿地景观格局演变及驱动分析[J]. 院报, 2022, 39(5): 45-53.
[5]	秦雁, 吉红香, 黄本胜, 陈亮雄, 周宇, 杨静学. 基于主波长水色参数的水库采砂遥感监测[J]. 院报, 2022, 39(10): 128-133.
[6]	宋立旺, 邓健, 王伟民, 戚德辉. 基于MODIS数据的浙江省植被覆盖度时空变化分析[J]. 院报, 2021, 38(5): 40-46.
[7]	曹波, 陈文龙, 魏思奇. 岸线动态变化立体监测及管理信息系统研究[J]. 院报, 2019, 36(10): 28-33.
[8]	高士佩, 梁文广, 王冬梅, 王春美, 杨印, 钱程. 遥感技术在江苏省水域面积监测中的应用[J]. 院报, 2017, 34(7): 132-135.
[9]	李芸，张楠. 昆明盆地地下水超采区水资源评价[J]. 院报, 2017, 34(6): 35-38.
[10]	邵霄怡, 李奇虎, 王书民. GIMMS和MODIS在黄土高原地区植被监测中的应用[J]. 院报, 2017, 34(5): 141-145.
[11]	张健,何祺胜,崔同,师鹏飞,杨涛. 基于遥感和GIS的江苏滨海地区湿地信息提取及动态变化分析[J]. 院报, 2017, 34(4): 144-150.
[12]	骆腾飞,谭德宝,文雄飞,赵登忠. 基于MODIS的长江源区雪冰遥感监测及其变化规律分析[J]. 院报, 2017, 34(3): 143-147.
[13]	李生勇, 王晓卿, 李彪. 基于MODIS数据的科尔沁区植被覆盖时空变化分析[J]. 院报, 2016, 33(2): 118-122.
[14]	向大享,李喆,文雄飞. 基于时序数据分析的云参数法背景场构建[J]. 院报, 2016, 33(11): 5-11.
[15]	赵海斌，付建军，周江平. 高地应力区大型地下洞室边墙松动圈动态分析研究[J]. 院报, 2011, 28(9): 35-39.

基于中分辨率成像光谱数据的塔里木河流域土壤湿度时空动态变化研究

Temporal and Spatial Dynamic Changes of Soil Moisture in the Main Stream of Tarim River Based on Mid Resolution Imaging Spectral Data

PDF

可视化

摘要/Abstract

引用本文

使用本文

相关文章 15

编辑推荐

Metrics

本文评价