机构

• 地理科学与资源研究... [30]

采集方式

• OAI收割 [30]

内容类型

• 期刊论文 [30]

发表日期

• 2020 [30]

学科主题

筛选

浏览/检索结果: 共30条，第1-10条 帮助 限定条件 发表日期：2020    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 General solution to reduce the point spread function effect in subpixel mapping 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 251, 页码: 19 作者:  Wang, Qunming;  Zhang, Chengyuan;  Tong, Xiaohua;  Atkinson, Peter M.   |  收藏  |  浏览/下载：11/0  |  提交时间：2021/03/16 Remote sensing images  Subpixel mapping (SPM)  Supper-resolution mapping  Downscaling  Spectral unmixing  Point spread function (PSF)  Accuracy assessment   Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 93, 页码: 11 作者:  Xiao, Chiwei;  Li, Peng;  Feng, Zhiming;  Liu, Yiyuan;  Zhang, Xianzhou   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/03/16 Rubber plantations  Sentinel-2  Red-edge spectral indices (RESI)  Phenology  Northern Laos   Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR Spectroscopy 期刊论文  OAI收割 SPECTROSCOPY, 2020, 卷号: 35, 期号: 12, 页码: 24-34 作者:  Xia, Ke;  Xia, Shasha;  Shen, Qiang;  Zhang, Shiwen;  Li, Cheng   |  收藏  |  浏览/下载：54/0  |  提交时间：2021/11/05 Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 22 作者:  Pang, Haiyang;  Zhang, Aiwu;  Kang, Xiaoyan;  He, Nianpeng;  Dong, Gang   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/03/15 aboveground biomass  multispectrum  hyperspectral  Sentinel-2  the simulated spectrum  estimation   New Textural Indicators for Assessing Above-Ground Cotton Biomass Extracted from Optical Imagery Obtained via Unmanned Aerial Vehicle 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 19 作者:  Chen, Pengfei;  Wang, Fangyong   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/03/15 textural index  biomass  cotton  unmanned aerial vehicle  optical image   Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 93, 页码: 11 作者:  Xiao, Chiwei;  Li, Peng;  Feng, Zhiming;  Liu, Yiyuan;  Zhang, Xianzhou   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/16 Rubber plantations  Sentinel-2  Red-edge spectral indices (RESI)  Phenology  Northern Laos   New Textural Indicators for Assessing Above-Ground Cotton Biomass Extracted from Optical Imagery Obtained via Unmanned Aerial Vehicle 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 19 作者:  Chen, Pengfei;  Wang, Fangyong   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/03/15 textural index  biomass  cotton  unmanned aerial vehicle  optical image   Global Revisit Interval Analysis of Landsat-8-9 and Sentinel-2A-2B Data for Terrestrial Monitoring 期刊论文  OAI收割 SENSORS, 2020, 卷号: 20, 期号: 22, 页码: 15 作者:  Li, Jian;  Chen, Baozhang   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/03/16 data availability  orbit swath  cloud contamination  sensor combination   Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16 作者:  Zhu, Wanxue;  Sun, Zhigang;  Yang, Ting;  Li, Jing;  Peng, Jinbang   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/15 Unmanned aerial vehicle (UAV)  Hyperspectral  Chlorophyll  Machine learning  Precision agriculture   Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16 作者:  Zhu, Wanxue;  Sun, Zhigang;  Yang, Ting;  Li, Jing;  Peng, Jinbang   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/03/15 Unmanned aerial vehicle (UAV)  Hyperspectral  Chlorophyll  Machine learning  Precision agriculture