斜
发表于 2025-3-25 05:17:11
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Resection
发表于 2025-3-25 08:41:15
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兽群
发表于 2025-3-25 12:56:13
Predicting Ecologically Important Vegetation Variables from Remotely Sensed Optical/Radar Data Usingbiosphere/atmosphere interactions, and carbon dynamics (Asrar and Dozier 1994; Hall et al. 1995). The success of efforts to extract vegetation variables such as these from remotely sensed data and available ancillary data will determine the degree and scope of vegetation-related science performed using EOS data.
avenge
发表于 2025-3-25 17:50:48
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夜晚
发表于 2025-3-25 22:27:26
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floaters
发表于 2025-3-26 02:20:34
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权宜之计
发表于 2025-3-26 04:26:19
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Orgasm
发表于 2025-3-26 12:07:04
Predicting Ecologically Important Vegetation Variables from Remotely Sensed Optical/Radar Data Usingharton and Myers 1997). The satellite digital data sets and ancillary data products will require the development of efficient algorithms that can incorporate and functionally utilize disparate data types. Numerous vegetation variables, e.g. leaf area, height, canopy roughness, land cover, stomatal r
CREEK
发表于 2025-3-26 12:51:51
Soft Mapping of Coastal Vegetation from Remotely Sensed Imagery with a Feed-Forward Neuronal Networkoor quality (Williams 1994; DeFries and Townshend 1994). Often the only practicable means of acquiring data on vegetation distribution at appropriate spatial and temporal resolutions is through remote sensing (Townshend et al. 1991; Skole 1994). The considerable potential of remote sensing for mappi
处理
发表于 2025-3-26 20:17:52
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