Coenzyme 发表于 2025-3-21 17:44:18
书目名称Remote Sensing and GIScience影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0826906<br><br> <br><br>书目名称Remote Sensing and GIScience读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0826906<br><br> <br><br>moratorium 发表于 2025-3-21 22:39:13
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https://doi.org/10.1007/978-3-030-55092-9Applied Earth Sciences; Applied Natural Science; Challenges and Future Dirctions; Environmental systemsBetween 发表于 2025-3-22 08:47:55
Book 2021reased in significance in recent decades and have the ability to acquire information at ground level with a higher spectral resolution using a field radio-spectrometer, which is a great improvement compared to other remote sensing systems. GIScience technology systems are widely used for solving and贪心 发表于 2025-3-22 15:48:57
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Assessment of Vegetation Vigor Using Integrated Synthetic Aperture Radarsation vigor. Accurate and precise assessment of biomass is henceforth important for specifying the health of vegetation that is indicative of a collection of several environmental factors. Remote sensing has currently emerged to be the most important and widely utilized tool for biomass assessment.KIN 发表于 2025-3-23 03:48:48
Landslide Susceptibility Mapping Using Bivariate Frequency Ratio Model and Geospatial Techniques: A nglong West district in Assam, India. Past landslide locations were extracted from the landslide hazard zonation map of Assam for preparing landslide susceptibility. Of the total past landslide locations, 70% locations were utilized for building the model and 30% locations for validating landslide sIST 发表于 2025-3-23 07:13:28
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