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基于GEE云平台与Sentinel数据的高分辨率水稻种植范围提取——以湖南省为例 被引量:10
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作者 桑国庆 唐志光 +3 位作者 毛克彪 邓刚 王靖文 李佳 《作物学报》 CAS CSCD 北大核心 2022年第9期2409-2420,共12页
准确获取大范围的水稻种植空间分布信息对调整农业生产结构和保障粮食安全至关重要。本文以湖南省为研究区,基于谷歌地球引擎(Google Earth Engine,GEE)云平台,协同Sentinel-1 SAR和Sentinel-2 MSI数据,根据水稻物候期极化(vertical tra... 准确获取大范围的水稻种植空间分布信息对调整农业生产结构和保障粮食安全至关重要。本文以湖南省为研究区,基于谷歌地球引擎(Google Earth Engine,GEE)云平台,协同Sentinel-1 SAR和Sentinel-2 MSI数据,根据水稻物候期极化(vertical transmit/horizontal receive,VH)后向散射系数、增强型植被指数(enhanced vegetation index,EVI)的变化特征构建水稻提取决策树模型,开展高分辨率水稻种植范围遥感提取,并进行精度验证。结果表明:本模型能够准确实现多云多雨地区的水稻种植范围遥感制图;基于混淆矩阵计算水稻总体分类精度为93.97%,Kappa系数为0.908,单、双季稻F1-score均超过91%,可为亚热带多云雨且稻田破碎分布区的水稻种植范围遥感提取提供参考。湖南省水稻分布受地形和气温的影响明显,主要分布在海拔200 m以下,坡度小于6°,年均气温大于17℃的区域;双季稻集中分布在岳阳、常德和益阳市,而单季稻种植分布相对零散。 展开更多
关键词 水稻 遥感提取 Sentinel-1/2 Google Earth Engine 决策树 物候特征
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基于MODIS数据的洞庭湖水体和水华时空变化研究 被引量:9
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作者 曹萌萌 毛克彪 +3 位作者 严毅博 崔京路 袁紫晋 Nusseiba 《中国环境科学》 EI CAS CSCD 北大核心 2019年第6期2523-2531,共9页
为明确洞庭湖水华发生规律、水体面积的变化规律及其影响因子,利用MODIS传感器提供的MOD02HKM数据,采用多波段水体指数(MBWI)模型、浮游藻类指数(FAI)方法识别、提取洞庭湖水体、水华范围,并对2001~2015年洞庭湖水体、水华时空分布数据... 为明确洞庭湖水华发生规律、水体面积的变化规律及其影响因子,利用MODIS传感器提供的MOD02HKM数据,采用多波段水体指数(MBWI)模型、浮游藻类指数(FAI)方法识别、提取洞庭湖水体、水华范围,并对2001~2015年洞庭湖水体、水华时空分布数据进行分析.结果表明:洞庭湖的水面范围在年内呈现明显的季节变化,在年际成缩减趋势.水域面积由大到小依次是夏季、秋季、春季、冬季,且2001~2015年丰水期水体的平均面积是枯水期的2.2倍;2001~2015年洞庭湖水域面积萎缩速率为-14.574km^2/a,其中夏季的萎缩速率最大,达到-38.678km^2/a;2001~2015年期间,洞庭湖区域均发生水华,水华主要集中发生在东洞庭湖的西部湖湾区,西洞庭湖和南洞庭湖的水华则沿河岸零星分布;洞庭湖水华存在明显的季节变化和年季变化.每年水华面积基本呈现正态分布,最小值出现在冬季,最大值出现在夏季和秋季,其值达到681.43km^2;2001~2015年水华爆发面积最高占全湖面积的18.2%,水华面积年平均变化率为-8.657km^2/a,水华爆发面积呈现缩小的趋势. 展开更多
关键词 洞庭湖 水体面积 水华 时空分布 MODIS数据
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Monitoring elevation change of glaciers on Geladandong Mountain using Tan DEM-X SAR interferometry 被引量:6
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作者 LIU Guang FAN Jing-hui +2 位作者 ZHAO Feng mao ke-biao DOU Chang-yong 《Journal of Mountain Science》 SCIE CSCD 2017年第5期859-869,共11页
Glaciers play an important role in the climate system. The elevation change of a glacier is an important parameter in studies of glacier dynamics. Only a few ground-based measurements of high mountain glaciers are ava... Glaciers play an important role in the climate system. The elevation change of a glacier is an important parameter in studies of glacier dynamics. Only a few ground-based measurements of high mountain glaciers are available due to their remoteness, high elevation, and complex topography. The acquisition from the German Tan DEM-X(Terra SAR-X add-on for Digital Elevation Measurement) SAR imaging configuration provides a reliable data sources for studying the elevation change of glaciers. In this study, the bistatic Tan DEM-X data that cover the Geladandong Mountain on the Tibetan Plateau were processed with SAR interferometry technique and the elevation changes of the mountain's glaciers during 2000–2014 were obtained. The results indicated that although distinct positive and negative elevation changes were found for different glacier tongues, the mean elevation change was about-0.14±0.26 m a-1. Geoscience Laser Altimeter System(GLAS) data were obtained for comparison and verification. The investigation using GLAS data demonstrated the efficacy of the proposed method in determining glacier elevation change. Thus, the presented approach is appropriate for monitoring glacier elevation change and it constitutes a valuable tool for studies of glacier dynamics. 展开更多
关键词 Elevation change Glacier Syntheticaperture radar interferometry Tan DEM-X Geladandongmountain Tibetan Plateau
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The Monitoring Analysis for the Drought in China by Using an Improved MPI Method 被引量:2
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作者 mao ke-biao MA Ying +2 位作者 XIA Lang TANG Hua-jun HAN Li-juan 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2012年第6期1048-1057,1058,共11页
MPI (microwave polarization index) method can use different frequencies at vertical polarization to retrieve soil moisture from TMI (tropical microwave imager) data, which is mainly suitable for bare soil. This pa... MPI (microwave polarization index) method can use different frequencies at vertical polarization to retrieve soil moisture from TMI (tropical microwave imager) data, which is mainly suitable for bare soil. This paper makes an improvement for MPI method which makes it suitable for surface covered by vegetation. The MPI by using single frequency at different polarizations is used to discriminate the bare soil and vegetation which overcomes the difficulty in previous algorithms by using optical remote sensing data, and then the revision is made according to the different land surface types. The validation by using ground measurement data indicates that revision for different land surface types can improve the retrieval accuracy. The average error is about 24.5% by using the ground truth data obtained from ground observation stations, and the retrieval error is about 13.7% after making a revision by using ground measurement data from local observation stations for different surface types. The improved MPI method and precipitation are used to analyze the drought in Southwest China, and the analysis indicates the soil moisture retrieved by improved MPI method can be used to monitor the drought. 展开更多
关键词 DROUGHT soil moisture climate change microwave remote sensing
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