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El. knyga: Global LAnd Surface Satellite (GLASS) Products: Algorithms, Validation and Analysis

  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Earth Sciences
  • Išleidimo metai: 05-Nov-2013
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319025889
  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Earth Sciences
  • Išleidimo metai: 05-Nov-2013
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319025889

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This book describes the algorithms, validation and preliminary analysis of the Global LAnd Surface Satellite (GLASS) products, a long-term, high-quality dataset that is now freely available worldwide to government organizations and agencies, scientific research institutions, students and members of the general public.

The GLASS products include leaf area index, broadband albedo, broadband emissivity, downward shortwave radiation and photosynthetically active radiation. The first three GLASS products cover 1981 to 2012 with 1km and 5km spatial resolutions and 8-day temporal resolution, and the last two GLASS products span 2008 to 2010 with 3-hour temporal resolution and 5km spatial resolution. These GLASS products are unique. The first three are spatially continuous and cover the longest period of time among all current similar satellite products. The other two products are the highest spatial-resolution global radiation products from satellite observations that are currently available.

These products can be downloaded from Beijing Normal University at http://glass-product.bnu.edu.cn/ and the University of Maryland Global Land Cover Facility at http://www.glcf.umd.edu/

The GLASS products are the outcome of a key research project entitled Generation & Applications of Global Products of Essential Land Variables, supported by funding from the High-Tech Research and Development Program of China and involving dozens of institutions and nearly one hundred scientists and researchers.

Following an introduction, the book contains five chapters corresponding to these five GLASS products: background, algorithm, quality control and validation, preliminary analysis and applications. It discusses the long-term environmental changes detected from the GLASS products and other data sources at both global and local scales and also provides detailed analysis of regional hotspots where environmental changes are mainly associated with climatechange, drought, land-atmosphere interactions, and human activities.The book is based primarily on a set of published journal papers about these five GLASS products and includes updated information. Since these products have now begun to be widely used, this book is an essential reference document. It is also a very helpful resource to anyone interested in satellite remote sensing and its applications.
1 Introduction
1(2)
References
2(1)
2 Leaf Area Index
3(30)
2.1 Background
3(2)
2.2 Algorithms
5(8)
2.2.1 General Regression Neural Networks
7(1)
2.2.2 Generating the Training Database
8(4)
2.2.3 Training of the GRNNs
12(1)
2.3 Product Characteristics and Quality Control
13(2)
2.3.1 GLASS LAI Product Characteristics
13(1)
2.3.2 Quality Control
14(1)
2.4 Product Validation
15(13)
2.4.1 Cross-Comparison of GLASS LAI with Other Global LAI Products
15(10)
2.4.2 Direct Validation
25(3)
2.5 Preliminary Analysis and Applications
28(1)
2.5.1 Spatial and Temporal Variation of Global LAI
28(1)
2.5.2 Three-North China Afforestation
29(1)
2.6 Summary
29(1)
References
30(3)
3 Shortwave Albedo
33(40)
3.1 Background
33(1)
3.2 Algorithms
34(15)
3.2.1 Algorithm Overview
34(1)
3.2.2 The AB1 Algorithm
35(9)
3.2.3 The AB2 Algorithm
44(2)
3.2.4 The STF Algorithm
46(3)
3.3 Product Characteristics, Quality Control and Validation
49(12)
3.3.1 Product Characteristics
49(1)
3.3.2 Quality Control and Assessment
49(8)
3.3.3 Validation
57(4)
3.4 Preliminary Analysis
61(7)
3.4.1 Global and Zonal Statistics and Trend Analysis
61(4)
3.4.2 Regional Analysis
65(3)
3.5 Summary
68(1)
References
69(4)
4 Longwave Emissivity
73(50)
4.1 Background
73(1)
4.2 Algorithms
74(32)
4.2.1 Determining the Optimal Broadband Emissivity Spectral Range
75(7)
4.2.2 Estimating the Longwave Emissivity from MODIS Shortwave Albedos
82(15)
4.2.3 Estimating Broadband Emissivity from AVHRR VNIR Data
97(9)
4.3 Product Characteristics, Quality Control, and Validation
106(7)
4.3.1 Product Characteristics
106(2)
4.3.2 Quality Control
108(1)
4.3.3 Validation
109(4)
4.4 Preliminary Analysis
113(4)
4.5 Summary
117(1)
References
118(5)
5 Incident Shortwave Radiation
123(20)
5.1 Background
123(2)
5.2 Algorithms
125(8)
5.2.1 Data Sources
126(1)
5.2.2 Algorithm Description
127(6)
5.3 Product Characteristics, Quality Control, and Validation
133(3)
5.3.1 Product Characteristics
133(1)
5.3.2 Quality Control
133(1)
5.3.3 Validation
134(2)
5.4 Preliminary Analysis
136(4)
5.4.1 Global Mapping
136(4)
5.4.2 Comparison with Other Products
140(1)
5.5 Summary
140(1)
References
140(3)
6 Incident Photosynthetic Active Radiation
143(18)
6.1 Background
143(3)
6.2 Algorithms
146(7)
6.2.1 Data Sources
146(1)
6.2.2 Algorithm Description
147(6)
6.3 Product Generation, Quality Control and Validation
153(1)
6.3.1 Product Generation
153(1)
6.3.2 Quality Control
153(1)
6.3.3 Validation
153(1)
6.4 Preliminary Analysis and Applications
154(3)
6.4.1 Spatial and Temporal Changes in GLASS PAR
154(1)
6.4.2 GPP Estimation Using GLASS PAR Over China
155(2)
6.5 Summary
157(1)
References
158(3)
7 Challenges and Prospects
161(2)
Appendix A GLASS Product Archive and Distribution 163(2)
Appendix B Acronmys 165