AMSR-E土壤水分产品评价及在干旱监测中的应用

doi:10.13866/j.azr.2021.03.07

干旱区研究 ›› 2021, Vol. 38 ›› Issue (3): 650-664.doi: 10.13866/j.azr.2021.03.07

AMSR-E土壤水分产品评价及在干旱监测中的应用

王静¹(),方锋²(),黄鹏程²,岳平¹,李江萍³,王大为²

1.中国气象局兰州干旱气象研究所甘肃省干旱气候变化与减灾重点实验室中国气象局干旱气候变化与减灾重点开放实验室,甘肃兰州730020
2.兰州区域气候中心,甘肃兰州730020
3.兰州大学大气科学学院,甘肃兰州730020

收稿日期:2020-04-20 修回日期:2021-03-24 出版日期:2021-05-15 发布日期:2021-06-17
通讯作者: 方锋
作者简介:王静（1978-）,女,副研究员,研究方向为气象灾害风险评估. E-mail: wangjing1102@126.com
基金资助:
中国气象局兰州干旱气象研究所创新团队建设项目(GHSCXTD-2020-3);甘肃省自然科学基金项目(20JR10RA454);甘肃省气象局气象科研项目(GSMArc2019-06);国家自然基金青年基金项目(41101422)

Evaluation of Advanced Microwave Scanning Radiometer for EOS(AMSR-E) soil moisture products over China and its application in drought monitoring

WANG Jing¹(),FANG Feng²(),HUANG Pengcheng²,YUE Ping¹,LI Jiangping³,WANG Dawei²

1. Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Lanzhou 730020, Gansu, China
2. Lanzhou Regional Climate Center, Lanzhou 730020, Gansu, China
3. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730020, Gansu, China

Received:2020-04-20 Revised:2021-03-24 Online:2021-05-15 Published:2021-06-17
Contact: Feng FANG

摘要/Abstract

摘要：

土壤水分在地表能量交换和气候变化中有重要作用。干旱为常见的自然灾害,土壤水分是反映干旱最直观的指标,利用微波遥感监测地表土壤水分具有明显优势,微波土壤水分产品也在干旱监测中具有重要作用,但由于地表下垫面的差异和反演算法的精度,使土壤水分产品的应用受到了限制,因此,本研究对广泛使用的AMSR-E （Advanced Microwave Scanning Radiometer-Earth Observing System）土壤水分产品在中国范围内的精度及在干旱监测中的作用进行评价。结果表明:AMSR-E能较好的反映站点不同深度的土壤水分情况,大多数站点存在极显著相关关系,但20 cm相关性低于10 cm,且高相关系数区域明显缩小;下垫面为白地的农试站观测的土壤水分和AMSR-E土壤水分产品之间的相关性显著高于种植作物下的农田区这2种数据的相关性;对于大多数下垫面类型,站点土壤水分和AMSR-E土壤水分之间存在明显的正相关关系,且达到极显著相关,对10 cm土壤水分观测,相关性最好的是种植高梁下观测的土壤水分,相关性达到了0.579,对20 cm土壤水分观测,相关性最好的是棉花下观测的土壤水分,相关性达到0.528。春季、夏季和秋季的相关性较高,而冬季相关性略低;在种植作物的情况下,东北、华南和西北地区,站点和AMSR-E土壤水分观测相关性较好,仅考虑白地的情况下,西北、西南和华中区域,这2种数据的相关性更高些;AMSR-E较农试站土壤水分取值范围宽,但不同区域AMSR-E土壤水分取值峰值不同,华北区域2种土壤水分观测分布和波动较为一致;AMSR-E基本能反映北方干旱和南方多雨引起的土壤水分差异趋势;大多数站点和大多数作物类型下,10 cm站点土壤水分和AMSR-E土壤水分相关性较好的情况下,20 cm也会有这样的表现。其次,AMSR-E土壤水分产品提取的土壤水分距平百分率与同期的降水距平百分率之间的相关性较好,尤其在西北地区和北方大部分区域更明显,AMSR-E土壤水分产品能较好的反映降水的波动和干旱的发生状况。

关键词: AMSR-E土壤水分产品, 土壤水分, 降水距平指数, 作物类型

Abstract:

Soil moisture plays an important role in surface energy exchange and climate change. Drought is a common natural disaster and soil moisture is the most intuitive index to reflect drought, therefore the use of microwave remote sensing to monitor surface soil moisture has obvious advantages. Microwave soil moisture products also play an important role in drought monitoring, but because of the difference of underlying surface and the accuracy of inversion algorithm, the application of soil moisture products is limited. Thus this study evaluated the accuracy of widely used AMSR-E (Advanced Microwave Scanning Radiometer for EOS) soil moisture products in china and their role in drought monitoring. The results showed that AMSR-E can better reflect the soil moisture at different depths, most of the sites have a very significant correlation, but the correlation of 20 cm is lower than 10 cm, and the high correlation coefficient area is significantly reduced; The correlation at bare soil between AMSR-E and agricultural meteorological station is significantly higher than that of farmland. For most crop regions, there are obvious relationships of soil moisture between agricultural meteorological station and AMSR-E. For 10 cm depth, the best correlation was observed under the planting sorghum with a coefficient of 0.579, while for 20 cm depth, the best correlation was under cotton with a coefficient of 0.528. The correlation of spring, summer and autumn was higher, but the correlation in winter was slightly lower. In the case of planting crops, the correlations of soil moisture between station and AMSR-E are better in Northeast, South and Northwest China, while in the case of white land those in Northwest, Southwest and Central China are higher; AMSR-E has a wider range of soil moisture values than the agricultural test station, but the peak values of AMSR-E are different in different regions, and the distribution and fluctuation of the two kinds of soil moisture in North China are relatively consistent; AMSR-E can basically reflect the trend of soil moisture difference caused by drought in the north and rainy in the south; For most stations and most crop types, if the correlation of 10 cm between agricultural meteorological station and AMSR-E is good, that of 20 cm soil moisture will also have this performance. Secondly, there is a good correlation between AMSR-E soil moisture anomaly percentage extracted by AMSR-E and precipitation anomaly percentage, especially in the northwest and most areas of northern China. AMSR-E soil moisture products can better reflect the fluctuation of precipitation and the occurrence of drought.

Key words: AMSR-E soil moisture, soil moisture, precipitation anomaly index, crop types

王静,方锋,黄鹏程,岳平,李江萍,王大为. AMSR-E土壤水分产品评价及在干旱监测中的应用[J]. 干旱区研究, 2021, 38(3): 650-664.

WANG Jing,FANG Feng,HUANG Pengcheng,YUE Ping,LI Jiangping,WANG Dawei. Evaluation of Advanced Microwave Scanning Radiometer for EOS(AMSR-E) soil moisture products over China and its application in drought monitoring[J]. Arid Zone Research, 2021, 38(3): 650-664.

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	一季稻	元麦	麻类	冬小麦	向日葵	夏玉米	大豆	大麦	套玉米	宿根蔗	马铃薯
样本量	1401	3	103	26945	54	6577	3690	21	798	628	2085
相关系数	0.193^**	-0.167	0.456^**	0.224^**	-0.248	0.295^**	0.247^**	0.209	0.249^**	-0.138^**	0.492^**
	新植蔗	早稻	春小麦	春玉米	晚稻	普通棉	棉花	油菜	烟草	牧草	高粱
样本量	229	407	4722	11683	361	5523	116	2395	166	4414	312
相关系数	0.086	0.200^**	0.191^**	0.328^**	0.334^**	0.363^**	0.559^**	0.302^**	0.315^**	0.523^**	0.579^**
	甘蔗	甘薯	甜菜	白地	芝麻	花生	莜麦	谷子	长绒棉	青稞	其他作物
样本量	25	848	334	37808	38	759	57	760	5	523	4470
相关系数	0.322	0.300^**	-0.161^**	0.444^**	0.299	0.171^**	0.305^**	0.391^**	-0.352	0.235^**	0.260^**

	春季	夏季	秋季	冬季
样本量	12193	9032	13800	2783
相关系数	0.462^**	0.431^**	0.440^**	0.305^**

	一季稻	元麦	麻类	冬小麦	向日葵	夏玉米	大豆	大麦	套玉米	宿根蔗	马铃薯
样本量	1374	3	103	26715	54	6538	3690	18	787	627	2054
相关系数	0.151^**	-0.305	0.384^**	0.245^**	-0.338^*	0.298^**	0.233^**	0.042	0.261^**	-0.185^**	0.502^**
	新植蔗	早稻	春小麦	春玉米	晚稻	普通棉	棉花	油菜	烟草	牧草	高粱
样本量	228	332	4690	11643	364	5476	114	2386	165	4399	309
相关系数	0.066	0.170^**	0.147^**	0.314^**	0.129^*	0.332^**	0.528^**	0.287^**	0.384^**	0.513^**	0.513^**
	甘蔗	甘薯	甜菜	白地	芝麻	花生	莜麦	谷子	长绒棉	青稞	其他作物
样本量	25	844	334	37560	38	765	57	761	5	522	4434
相关系数	0.462^**	0.280^**	0.107	0.433^**	0.204	0.145^**	0.251	0.374^**	-0.348	0.153^**	0.234^**

		东北	华北	华东	华南	华中	西北	西南
多种作物类型	样本量	15755	36325	10512	12347	2860	28781	11982
多种作物类型	相关系数	0.289^**	0.207^**	0.065^**	0.289^**	0.128^**	0.280^**	0.180^**
白地	样本量	7319	14609	1805	766	2862	8082	2365
白地	相关系数	0.307^**	0.255^**	0.317^**	0.163^**	0.337^**	0.449^**	0.354^**

		全国	东北	华北	华东	华中	华南	西南	西北
多种作物类型	相关系数	0.863^**	0.838^**	0.849^**	0.899^**	0.930^**	0.692^**	0.732^**	0.924^**
多种作物类型	样本数	629	80	180	64	70	23	75	134
白地	相关系数	0.738^**	0.863^**	0.606^**	0.906^**	0.910^**	0.828^**	0.377^*	0.849^**
白地	样本数	476	75	153	43	45	16	35	106

AMSR-E土壤水分产品评价及在干旱监测中的应用

Evaluation of Advanced Microwave Scanning Radiometer for EOS(AMSR-E) soil moisture products over China and its application in drought monitoring

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	一季稻	其他作物	冬小麦	向日葵	夏玉米	大豆	套玉米	宿根蔗	新植蔗	早稻
相关系数	0.768^**	0.668^**	0.716^**	0.356	0.884^**	0.727^**	0.939^**	0.928^*	0.991^**	0.046
样本数	46	66	248	4	128	65	16	5	4	15
	春小麦	春玉米	晚稻	普通棉	棉花	油菜	烟草	牧草	甘蔗	甘薯
相关系数	0.891^**	0.917^**	0.694^**	0.974^**	0.949^**	0.736^**	0.149	0.919^**	0.989^**	-0.005
样本数	70	164	30	64	29	56	6	44	5	18
	甜菜	芝麻	花生	谷子	青稞	马铃薯	高粱	麻类
相关系数	-0.919	0.997^**	0.961^**	0.897^**	0.972^**	0.870^**	0.966^**	0.760
样本数	4	3	25	14	7	41	11	6

站点	同AMSR-E土壤水分相关性		同农试站观测土壤水分相关性			站点	同AMSR-E土壤水分相关性		同农试站观测土壤水分相关性
站点	相关系数	样本量	相关系数	样本量	地表作物类型	站点	相关系数	样本量	相关系数	样本量	地表作物类型
敦煌	0.002	241	0.266	16	白地、普通棉	岷县	-0.058	260	0.811^**	33	马铃薯、其他作物、白地
永昌	-0.034	204	0.614^*	16	白地、大麦	文县北	-0.006	302	0.609^**	52	冬小麦、夏玉米、白地
凉州东	0.077	216	0.614^**	25	白地、春小麦、套玉米	武山	0.149^*	269	0.870^**	19	冬小麦、白地
景泰	0.071	251	0.929^**	20	白地	成县东	0.229^**	325	0.665^**	39	冬小麦、春玉米、白地
会宁	0.167^**	243	0.745^**	19	白地、春小麦	两当	0.250^**	328
崆峒	0.079	259	0.450^**	33	冬小麦、春玉米、白地	敦煌东	0.223^*	85
泾川	0.090	265	0.751^**	29	冬小麦、高粱、白地	安定西	0.184^**	258
宁县	-0.039	256	0.948^**	17	冬小麦、白地	秦安	0.148^*	258
玛曲	-0.131	211	0.775^**	20	白地、牧草	张家川	0.084	278
合作	-0.141^*	217	0.751^**	31	牧草、青稞	成县西	0.242^**	328

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