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干旱区地理 >

2023 , Vol. 46 >Issue 10: 1632 - 1642

DOI: https://doi.org/10.12118/j.issn.1000-6060.2022.616

生物与土壤

基于GEE平台渭库绿洲棉花水分生产率遥感估算

  • 何旭刚 ,
  • 买买提·沙吾提 ,
  • 盛艳芳 ,
  • 李荣鹏
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  • 1.新疆大学地理与遥感科学学院，新疆 乌鲁木齐 830046
    2.新疆绿洲生态重点实验室，新疆 乌鲁木齐 830046
    3.智慧城市与环境建模自治区普通高校重点实验室，新疆 乌鲁木齐 830046
何旭刚（1995-），男，硕士研究生，主要从事农业遥感与农作物高效用水等方面的研究. E-mail: hexugang@stu.xju.edu.cn

收稿日期: 2022-11-21

  修回日期: 2022-12-22

  网络出版日期: 2023-11-10

基金资助

新疆自然科学计划（自然科学基金）联合基金项目(2021D01C055)

收起

Remote sensing estimation of cotton water productivity in Ugan-Kuqa River Oasis based on Google Earth Engine

  • Xugang HE ,
  • SAWUT Mamat ,
  • Yanfang SHENG ,
  • Rongpeng LI
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  • 1. College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, Xinjiang, China
    2. Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, Xinjiang, China
    3. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi 830046, Xinjiang, China

Received date: 2022-11-21

  Revised date: 2022-12-22

  Online published: 2023-11-10

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摘要

作物水分生产率的准确和定量化评价是提高干旱区作物产量的基础，对缓解水资源短缺和农业可持续发展具有重要意义。以塔里木盆地北岸的渭干河-库车河绿洲（渭库绿洲）为典型区域，基于Google Earth Engine（GEE）云平台，通过建立2009—2020年流域SEBAL遥感蒸散发模型、棉花分布识别模型及估产模型，对流域棉花水分生产率进行评价。结果表明：（1） 渭库绿洲棉花产量从2009年的1610.10 kg·hm-2增长到2020年的1855.05 kg·hm-2，增长率为13.20%，棉花种植面积逐年向绿洲边缘延伸，棉花产量重心整体自西向东移动2485 m。（2） 棉花生长期2009年蒸散发均值为686.80 mm，2020年为738.66 mm，整体呈上升趋势，其增长率为7.02%，棉花生长期蒸散发最大值为花铃期和吐絮期，蒸散发较高值主要分布在绿洲内部与塔里木河北岸边缘。（3） 2009年水分生产率均值为0.21 kg·m-3，2020年均值为0.25 kg·m-3，12 a间水分生产率均值增长率为16%。在空间上，渭库绿洲水分生产率重心在红旗镇自东北向西南移动1832 m，年均移动速度为152.67 m·a-1。绿洲棉花水分生产率呈现东西方向大于南北方向扩张趋势，空间分布方向趋势增强，空间格局趋向集聚化。（4） 12 a间产量的增长速度超过了蒸散发的上升速度，促使水分生产率提高。其次，水分生产率与棉花种植面积和合理的水量灌溉技术密切相关，水分生产率高值主要分布于沙雅县新垦农场和新和县桑塔木农场，由于农场规模化种植和集约化管理，促进了棉花增产、农业水资源的稳定分配和高效利用。

关键词： Google Earth Engine（GEE）; 蒸散发; 棉花提取; 棉花产量; 水分生产率; 渭库绿洲

本文引用格式

何旭刚 , 买买提·沙吾提 , 盛艳芳 , 李荣鹏 . 基于GEE平台渭库绿洲棉花水分生产率遥感估算[J]. 干旱区地理, 2023 , 46(10) : 1632 -1642 . DOI: 10.12118/j.issn.1000-6060.2022.616

Abstract

An accurate and quantitative evaluation of crop water productivity is the basis for the improvement of crop yield in arid regions and is of great significance to alleviate water shortage and drive sustainable agricultural development. We have considered the Ugan-Kuqa River Oasis on the north bank of the Tarim Basin of China as the subject area, and the watershed SEBAL remote sensing evapotranspiration model and cotton distribution identification model are established employing the Google Earth Engine cloud platform from 2009 to 2020. The production estimation model was used to evaluate the moisture productivity of cotton in the watershed. The following results were observed. (1) The cotton production in the Ugan-Kuqa River Oasis ranges from 1610.10 kg·hm-2 in 2009 to 1855.05 kg·hm-2 in 2020, with a growth rate of 13.20%. The cotton planting area extends to the edge of oasis year by year, and the center of gravity of cotton production moves 2485 m from west to east. (2) The average evapotranspiration (ET) value during the cotton growth period was 686.80 mm in 2009 and was 738.66 mm in 2020, indicating an overall upward trend, with a growth rate of 7.02%. The maximum value of ET during the cotton growth period was observed during the flowering and boll-opening stages. The higher ET value is mainly distributed in the interior of the oasis and at the edge of the north bank of the Tarim River. (3) The average water productivity in 2009 and 2020 was 0.21 kg·m-3 and 0.25 kg·m-3, respectively, indicating a growth rate of 16% in 12 years. In terms of space, the gravity center of water productivity in the Ugan-Kuqa River Oasis moved 1832 m from the northeast to the southwest of Hongqi Town, with an average annual moving speed of 152.67 m·a-1. The water productivity of oasis cotton showed an expanding trend in the east-west direction compared with that in the north-south direction. The trend of spatial distribution direction had been enhanced, and the spatial pattern tended to be agglomerated. (4) After 12 years, the increased yield rate exceeded the increased evapotranspiration rate, promoting the increase of water productivity. Moreover, water productivity is closely related to the cotton planting area and reasonable water irrigation technology. High water productivity is mainly distributed in Xinken Farm in Xayar County and Sangtamu Farm in Xinhe County, respectively. The large-scale planting and intensive management of farms promoted and improved cotton production, stable distribution, and efficient use of agricultural water resources.

Key words： Google Earth Engine (GEE); evapotranspiration; cotton extraction; cotton yield; water productivity; Ugan-Kuqa River Oasis

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