Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing

Agricultural drought is a major factor that affects agricultural production. Traditional agricultural drought monitoring is mainly based on meteorological and hydrological data, and although it can provide more accurate drought monitoring results at the point level, there are still limitations in mo...

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Autores principales:	HAN Dong, WANG Pengxin, ZHANG Yue, TIAN Huiren, ZHOU Xijia
Formato:	article
Lenguaje:	EN ZH
Publicado:	Editorial Office of Smart Agriculture 2021
Materias:	satellite remote sensing agricultural drought crop growth model monitor forecast Agriculture (General) S1-972 Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/45a3ec13251b42439e414e5cf0b6072c
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spelling	oai:doaj.org-article:45a3ec13251b42439e414e5cf0b6072c2021-11-17T07:52:11ZProgress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing2096-809410.12133/j.smartag.2021.3.2.202104-SA002https://doaj.org/article/45a3ec13251b42439e414e5cf0b6072c2021-06-01T00:00:00Zhttp://www.smartag.net.cn/article/2021/2096-8094/2096-8094-2021-3-2-1.shtmlhttps://doaj.org/toc/2096-8094Agricultural drought is a major factor that affects agricultural production. Traditional agricultural drought monitoring is mainly based on meteorological and hydrological data, and although it can provide more accurate drought monitoring results at the point level, there are still limitations in monitoring agricultural drought at the regional scale. The rapid development of remote sensing technology has provided a new mean of monitoring agricultural droughts at the regional scale, especially since the electromagnetic wavelengths sensed by satellite sensors in orbit now cover visible, near-infrared, thermal infrared and microwave wavelengths. It is important to make full use of the rich surface information obtained from satellite remote sensing data for agricultural drought monitoring and forecasting. This paper described the research progress of agricultural drought monitoring based on satellite remote sensing from three aspects: remote sensing index-based method, soil water content method and crop water demand method. The research progress of agricultural drought monitoring based on remote sensing index-based method was elaborated from five aspects: vegetation drought index, temperature drought index, integrated vegetation and temperature drought index, water drought index and microwave drought index; the research progress of agricultural drought monitoring based on soil water content method was elaborated from two aspects: soil water content retrieval based on visible to thermal infrared data and soil water content retrieval based on microwave data; the research progress of agricultural drought monitoring based on crop water demand method was elaborated from two aspects: agricultural drought monitoring based on crop canopy water content retrieval method and crop growth model method. Agricultural drought forecasting is a timeline prediction based on drought monitoring. Based on the summary of the progress of drought monitoring, the research progress of agricultural drought forecasting by the drought index method and the crop growth model method was further briefly described. The existing agricultural drought monitoring methods based on satellite remote sensing were summarized, and its shortcomings were sorted out, and some prospects were put forward. In the future, different remote sensing data sources can be used to combine deep learning methods with crop growth models and based on data assimilation methods to further explore the potential of satellite remote sensing data in the monitoring of agricultural drought dynamics, which can further promote the development of smart agriculture.HAN DongWANG PengxinZHANG YueTIAN HuirenZHOU XijiaEditorial Office of Smart Agriculturearticlesatelliteremote sensingagricultural droughtcrop growth modelmonitorforecastAgriculture (General)S1-972Technology (General)T1-995ENZH智慧农业, Vol 3, Iss 2, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN ZH
topic	satellite remote sensing agricultural drought crop growth model monitor forecast Agriculture (General) S1-972 Technology (General) T1-995
spellingShingle	satellite remote sensing agricultural drought crop growth model monitor forecast Agriculture (General) S1-972 Technology (General) T1-995 HAN Dong WANG Pengxin ZHANG Yue TIAN Huiren ZHOU Xijia Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
description	Agricultural drought is a major factor that affects agricultural production. Traditional agricultural drought monitoring is mainly based on meteorological and hydrological data, and although it can provide more accurate drought monitoring results at the point level, there are still limitations in monitoring agricultural drought at the regional scale. The rapid development of remote sensing technology has provided a new mean of monitoring agricultural droughts at the regional scale, especially since the electromagnetic wavelengths sensed by satellite sensors in orbit now cover visible, near-infrared, thermal infrared and microwave wavelengths. It is important to make full use of the rich surface information obtained from satellite remote sensing data for agricultural drought monitoring and forecasting. This paper described the research progress of agricultural drought monitoring based on satellite remote sensing from three aspects: remote sensing index-based method, soil water content method and crop water demand method. The research progress of agricultural drought monitoring based on remote sensing index-based method was elaborated from five aspects: vegetation drought index, temperature drought index, integrated vegetation and temperature drought index, water drought index and microwave drought index; the research progress of agricultural drought monitoring based on soil water content method was elaborated from two aspects: soil water content retrieval based on visible to thermal infrared data and soil water content retrieval based on microwave data; the research progress of agricultural drought monitoring based on crop water demand method was elaborated from two aspects: agricultural drought monitoring based on crop canopy water content retrieval method and crop growth model method. Agricultural drought forecasting is a timeline prediction based on drought monitoring. Based on the summary of the progress of drought monitoring, the research progress of agricultural drought forecasting by the drought index method and the crop growth model method was further briefly described. The existing agricultural drought monitoring methods based on satellite remote sensing were summarized, and its shortcomings were sorted out, and some prospects were put forward. In the future, different remote sensing data sources can be used to combine deep learning methods with crop growth models and based on data assimilation methods to further explore the potential of satellite remote sensing data in the monitoring of agricultural drought dynamics, which can further promote the development of smart agriculture.
format	article
author	HAN Dong WANG Pengxin ZHANG Yue TIAN Huiren ZHOU Xijia
author_facet	HAN Dong WANG Pengxin ZHANG Yue TIAN Huiren ZHOU Xijia
author_sort	HAN Dong
title	Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
title_short	Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
title_full	Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
title_fullStr	Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
title_full_unstemmed	Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing
title_sort	progress of agricultural drought monitoring and forecasting using satellite remote sensing
publisher	Editorial Office of Smart Agriculture
publishDate	2021
url	https://doaj.org/article/45a3ec13251b42439e414e5cf0b6072c
work_keys_str_mv	AT handong progressofagriculturaldroughtmonitoringandforecastingusingsatelliteremotesensing AT wangpengxin progressofagriculturaldroughtmonitoringandforecastingusingsatelliteremotesensing AT zhangyue progressofagriculturaldroughtmonitoringandforecastingusingsatelliteremotesensing AT tianhuiren progressofagriculturaldroughtmonitoringandforecastingusingsatelliteremotesensing AT zhouxijia progressofagriculturaldroughtmonitoringandforecastingusingsatelliteremotesensing
_version_	1718425855514902528

Progress of Agricultural Drought Monitoring and Forecasting Using Satellite Remote Sensing

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