中国农业气象 ›› 2021, Vol. 42 ›› Issue (04): 307-317.doi: 10.3969/j.issn.1000-6362.2021.04.005

• 农业气象信息技术 栏目 • 上一篇    下一篇

典型旱年农业干旱遥感监测指标在东北地区生长季的表现

王蔚丹,孙丽,裴志远,陈媛媛   

  1. 1. 农业农村部耕地利用遥感重点实验室,北京 100121;2. 农业农村部规划设计研究院遥感与数字乡村研究所,北京 100121
  • 收稿日期:2020-10-09 出版日期:2021-04-20 发布日期:2021-04-15
  • 通讯作者: 孙丽,高级工程师,主要从事农业遥感监测等研究。E-mail:sunli0618@163.com E-mail:sunli0618@163.com
  • 作者简介:王蔚丹,E-mail:wangwd52@mail.bnu.edu.cn
  • 基金资助:
    国家重点研发计划(2016YFB0501505)

Performances of Remote Sensing Monitoring Indices of Agricultural Drought in Growing Season of Typical Dry Year in Northeast China

WANG Wei-dan, SUN Li, PEI Zhi-yuan, CHEN Yuan-yuan   

  1. 1. Key Laboratory of Cultivated Land Use, Ministry of Agriculture and Rural Affairs, Beijing 100121, China; 2. Institute of Remote Sensing and Digital Villages, Academy of Agricultural Planning & Engineering, Ministry of Agriculture and Rural Affairs, Beijing 100121
  • Received:2020-10-09 Online:2021-04-20 Published:2021-04-15

摘要: 以8d为时间尺度,以土壤相对湿度(RSM)为参考指标,采用相关分析方法,分析评估典型旱年2009年作物生长季内分别表征降水、土壤和作物的3个类别10种农业干旱遥感监测指数在东北地区的适用性。结果表明:(1)生长季中、后期,综合考虑冠层温度和植被特征的温度植被干旱指数(TVDI)与RSM的相关系数绝对值在0.5左右,对土壤湿度变化较敏感,可用于该生长阶段的农业干旱监测;(2)考虑作物前期缺水的累积作物缺水指数(ACWSI)是与RSM相关性较好的指数之一,在生长季前期和后期与RSM的相关系数绝对值在0.47以上,表现良好,但应用过程中需注意累积效应的时间尺度;(3)表观热惯量(ATI)更适于生长季前期干旱监测,改进型能量指数(MEI)适用于各种植被覆盖条件,但存在一定不稳定性;(4)考虑前期累积降水的APCI指数比仅考虑8d降水的条件降水指数PCI更能反映土壤湿度状况,特别是在生长季中、后期,可作为其它监测指数的补充;(5)条件植被指数(VCI)、归一化差异水分指数(NDWI)与RSM相关性较低,对现时土壤湿度的反映不敏感,不适于研究区内短时间尺度的农业干旱监测。研究结果可为东北地区开展农业干旱监测选取合适指标提供参考,也可为农业干旱指数的广泛应用构建可行性框架。

关键词: 农业干旱, 遥感监测, 土壤湿度, 适用性, 东北地区

Abstract: Quite a few indices for agricultural drought monitoring based on remote sensing technology have been developed, but their sensitivity may be affected by specific environment. Different agricultural drought monitoring indices derived from remote sensing have different temporal and spatial adaptability. For the purpose of assessing the impact of drought timely and accurately, it is very important to select appropriate monitoring indices for specific regions and specific crop growth stages. Referring to previous studies, in this paper, agricultural drought monitoring indices were divided into three types: precipitation-based, soil-based and crop-based indicators. With the relative soil moisture (RSM) as the reference, the performances of 10 drought monitoring indices were analyzed during crop growing season in Northeast China. In the process of quantitative analysis of these drought indices’ applicability, the Pearson correlation analysis was carried out on 8-day scale in the typical drought year 2009. The results showed that: (1) except in the early stage of the growing season, the absolute value of correlation coefficient between the temperature vegetation drought index (TVDI) and RSM was about 0.50 respectively. TVDI was sensitive to soil moisture, and can be used for agricultural drought monitoring in the middle and late stage of the growing season. (2) The accumulative crop water stress index (ACWSI) based on potential evapotranspiration and actual evapotranspiration was one of the indices with good correlation with soil moisture. Especially in the early and late growing season, it performed well: the absolute value of the correlation coefficient between ACWSI with RSM was above 0.47. The time scale of cumulative effect needs to be paid attention to in the application. (3) The apparent thermal inertia (ATI) was more suitable for drought monitoring in early growing season, and the modified energy index (MEI) was appropriate for various vegetation cover conditions, but it had certain instability. (4) Compared with the precipitation condition index (PCI), the accumulative precipitation condition index (APCI), considering the accumulated precipitation, reflected the soil moisture status better, especially in the middle and late stage of the growing season. So, it could be used as a supplement to other monitoring indices. (4) The vegetation conditional index (VCI) and normalized difference water index (NDWI) had low correlation with RSM, indicating low sensitivity to current soil moisture, so they are not suitable for agricultural drought monitoring in Northeast China. This study can provide some reference for the index selection of regional agricultural drought monitoring in short time scale, and construct a feasible framework for the extensive application of agricultural drought indices.

Key words: Agricultural drought, Remote sensing monitoring, Relative soil moisture, Adaptability, Northeast China