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| Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning 期刊论文
Remote Sensing of Environment, 2021, 卷号: 260
作者: Babaeian E.; Paheding S.; Siddique N.; Devabhaktuni V.K.; Tuller M.
  收藏 | 浏览/下载：12/0 | 提交时间：2021/05/24 |
| Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data 期刊论文
Remote Sensing of Environment, 2021, 卷号: 258
作者: Li Q.; Wong F.K.K.; Fung T.
收藏 | 浏览/下载：17/0 | 提交时间：2021/05/24 |
| Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates 期刊论文
Remote Sensing of Environment, 2021, 卷号: 258
作者: Hu Q.; Yin H.; Friedl M.A.; You L.; Li Z.; Tang H.; Wu W.
收藏 | 浏览/下载：30/0 | 提交时间：2021/05/24 |
| Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection 期刊论文
Remote Sensing of Environment, 2021, 卷号: 257
作者: Tian L.; Xue B.; Wang Z.; Li D.; Yao X.; Cao Q.; Zhu Y.; Cao W.; Cheng T.
收藏 | 浏览/下载：40/0 | 提交时间：2021/05/24 |
| PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents 期刊论文
Remote Sensing of Environment, 2021, 卷号: 252
作者: Féret J.-B.; Berger K.; de Boissieu F.; Malenovský Z.
收藏 | 浏览/下载：17/0 | 提交时间：2021/05/24 |
| Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection 期刊论文
Remote Sensing of Environment, 2020, 卷号: 251
作者: Zhang F.; Yang X.
收藏 | 浏览/下载：1/0 | 提交时间：2021/05/24 |
| Monitoring grassland invasion by spotted knapweed (Centaurea maculosa) with RPAS-acquired multispectral imagery 期刊论文
Remote Sensing of Environment, 2020, 卷号: 249
作者: Baron J.; Hill D.J.
收藏 | 浏览/下载：8/0 | 提交时间：2021/05/24 |
| Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification 期刊论文
Remote Sensing of Environment, 2020, 卷号: 237
作者: Zhang C.; Harrison P.A.; Pan X.; Li H.; Sargent I.; Atkinson P.M.
收藏 | 浏览/下载：17/0 | 提交时间：2021/05/24 |
| Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring 期刊论文
Remote Sensing of Environment, 2020, 卷号: 236
作者: Zhou B.; Okin G.S.; Zhang J.
收藏 | 浏览/下载：17/0 | 提交时间：2021/05/24 |
