By Shunlin Liang, Xiaowen Li, Jindi Wang
Complicated distant Sensing is an application-based reference that gives a unmarried resource of mathematical options worthwhile for distant sensing info accumulating and assimilation. It provides cutting-edge innovations for estimating land floor variables from numerous info forms, together with optical sensors reminiscent of RADAR and LIDAR. Scientists in a couple of diversified fields together with geography, geology, atmospheric technology, environmental technology, planetary technology and ecology may have entry to critically-important data
extraction concepts and their almost limitless functions. whereas rigorous adequate for the main skilled of scientists, the concepts are good designed and built-in, making the book’s content material intuitive, truly offered, and useful in its implementation.
* finished evaluate of assorted sensible tools and algorithms * specified description of the foundations and methods of the cutting-edge algorithms * Real-world case experiences open a number of chapters * greater than 500 full-color figures and tables * Edited by means of best distant sensing specialists with contributions from authors around the geosciences.
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Extra info for Advanced Remote Sensing : Terrestrial Information Extraction and Applications
There are two types of GRSs: ﬁxed and mobile. S. and International Cooperator ground station network for the direct downlink and distribution of Landsat 7 (L7) and/or Landsat 5 (L5) image data. 5, the mobile station is an attractive solution to ﬁll the holes and also an efﬁcient means to perform acquisition in a remote location for a long period of time when a lot of images are needed for particular work (cartography of a region for example). The ground receiving stations acquire, preprocess, archive, and process data.
2. 5. Image Fusion and Product Integration There are many cases where we need to integrate image data through image fusion techniques. Deﬁnitions of image fusion in the literature are very diverse. Image fusion can be viewed as a process that produces a single image from a set of input images. The fused image should have more complete information and is more useful for estimating land surface variables. 10. , topographic map). Chapter 3 will present some of these techniques in detail. When we examine high-level satellite products, it is surprising to see that most products are mainly generated from a single sensor.
When we examine high-level satellite products, it is surprising to see that most products are mainly generated from a single sensor. For example, the MODIS team produces albedo products mainly from MODIS data, which is also true for MISR, MERIS, etc. , spatial and temporal resolutions, accuracy). Instead of asking the user to pick the “best” product, we can generate a blended/integrated product from multiple-sensor products. Chapter 22 is devoted to addressing this topic in the example of leaf area index (LAI).
Advanced Remote Sensing : Terrestrial Information Extraction and Applications by Shunlin Liang, Xiaowen Li, Jindi Wang