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E-grāmata: Geospatial Applications for Natural Resources Management [Taylor & Francis e-book]

Edited by (Dept. of Regional Water Studies, Teri University, New Delhi, India)
  • Formāts: 309 pages, 84 Tables, color; 70 Line drawings, color; 84 Halftones, color
  • Izdošanas datums: 07-May-2018
  • Izdevniecība: CRC Press
  • ISBN-13: 9781315229218
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Geospatial Applications for Natural Resources ManagementPalielināt
  • Formāts: 309 pages, 84 Tables, color; 70 Line drawings, color; 84 Halftones, color
  • Izdošanas datums: 07-May-2018
  • Izdevniecība: CRC Press
  • ISBN-13: 9781315229218
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781315229218
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This book will present new research regarding the interdisciplinary applications of spatial information sciences for identification, assessment, monitoring, and modeling issues related to natural resources and environmental management. It will focus on the creation, collection, storage, processing, modeling, interpretation, display and dissemination of spatio-temporal data, which could greatly aid with environmental management issues including ecosystem change, resource utilization, land use management, and environmental pollution. The positive environmental impacts of information technology advancements with regard to global environmental and climate change will also be discussed.

Features





Explains how geospatial information can best serve environmental management needs, including ecosystem change, resource utilization, land use management, and environmental pollution.



Examines the environmental impacts of information technology advancements with regard to global environmental and climate change.



Focuses on the creation, collection, storage, processing, modeling, interpretation, display and dissemination of environmental spatio-temporal data.



Presents examples of applications for spatial information sciences regarding the assessment, monitoring, and modeling of natural resources.



Includes practical case studies in every chapter.
List of Figures vii
List of Tables xiii
Preface xvii
Editor xix
Contributors xxi
Chapter 1 Spatiotemporal Analysis of Urban Expansion and Its Impact on Surface Temperature and Water Bodies 1(10)
Chander Kumar Singh
M. Kumari
N. Kikon
R.K. Tomar
1.1 Introduction
2(1)
1.2 Materials and Methods
2(4)
1.2.1 Study Area
3(1)
1.2.2 Data Set
4(1)
1.2.3 Preprocessing of Image
4(1)
1.2.4 Image Classification
4(1)
1.2.5 Derivation of Normalized Difference Water Index
4(1)
1.2.6 Derivation of Normalized Difference Vegetation Index
5(1)
1.2.7 Mono-Window Algorithm for the Estimation of Land Surface Temperature
5(1)
1.3 Result and Discussions
6(2)
1.3.1 Spatiotemporal Analysis of Normalized Difference Water Index and Land Use/Land Cover
6(1)
1.3.2 Spatiotemporal Analysis of Normalized Difference Vegetation Index and Land Surface Temperature
7(1)
1.4 Conclusion
8(1)
References
8(3)
Chapter 2 Landscape Pattern and Dynamics in a Fast-Growing City, Khamis-Mushyet, Saudi Arabia, Using Geoinformation Technology 11(16)
Javed Mallick
Hoang Thi Hang
2.1 Introduction
12(1)
2.2 Study Area and Data Used
13(1)
2.3 Methodology
14(3)
2.4 Result
17(8)
2.4.1 Land Use and Land Cover Mapping (1990)
17(3)
2.4.2 Land Use and Land Cover Change (1990-2002)
20(3)
2.4.3 Land Use/Land Cover Change Analysis (2002-2014)
23(1)
2.4.4 Land Use and Land Cover Change Analysis (1990-2014)
23(1)
2.4.5 Urban Expansion of Khamis-Mushyet during 1990-2002-2014
24(1)
2.5 Conclusions
25(1)
References
26(1)
Chapter 3 Understanding the Spatio-Temporal Monitoring of Glaciers: Application of Geospatial Technology 27(24)
Shruti Dutta
AL. Ramanathan
3.1 Introduction
28(1)
3.2 Identifying Geomorphological Features from Space
28(5)
3.3 Mapping and Inventory of Glaciers
33(5)
3.3.1 Manual Delineation of Area/Length
33(3)
3.3.2 Mapping the Debris-Covered Glaciers through Automated Classification
36(2)
3.4 Estimation of Thickness of Glaciers
38(4)
3.4.1 Thickness Area Relation Method
39(1)
3.4.2 Volume-Area Related Thickness Estimations
40(1)
3.4.3 Glacier Flow Mechanics Method
41(1)
3.4.4 Remote Sensing-Based Methods
41(1)
3.5 Volumetric Estimation
42(1)
3.5.1 Glacier Flow Mechanics Method
42(1)
3.5.2 Remote Sensing-Based Methods
42(1)
3.6 Extracting Glacier Parameters from Digital Elevation Model
42(5)
3.6.1 Deciphering Mass Balance Studies from DEMs
43(1)
3.6.2 Volume-Area Scaling for Mass Balance Studies
43(1)
3.6.3 Accumulation Area Ratio-Equilibrium Line Altitude Method for Mass Balance Estimations
44(2)
3.6.4 The Remote Sensing-Based Geodetic Method
46(1)
3.7 Geospatial Technology for Cryosphere and the Way Forward
47(1)
References
47(4)
Chapter 4 Urban Imprints on City's Environment-Unfolding Four Metro Cities of India 51(22)
Richa Sharma
P.K. Joshi
4.1 Introduction
51(1)
4.2 Study Area
52(2)
4.3 Data
54(4)
4.3.1 Land Use and Land Cover Mapping
55(1)
4.3.2 Land Surface Temperature Estimation
56(2)
4.4 Results
58(10)
4.4.1 Chennai
58(2)
4.4.2 Delhi
60(3)
4.4.3 Kolkata
63(1)
4.4.4 Mumbai
64(4)
4.5 Conclusion
68(1)
Acknowledgment
69(1)
References
69(4)
Chapter 5 Predictive Modeling of a Metropolitan City in India Using a Land Change Modeling Approach 73(14)
Akanksha Balha
Chander Kumar Singh
5.1 Introduction
74(1)
5.2 Land Change Modeling Approaches
74(5)
5.2.1 Statistical Regression Models
75(1)
5.2.2 Artificial Neural Networks
75(1)
5.2.3 Markov Chain Models
75(4)
5.2.4 Cellular Automata Models
79(1)
5.2.5 Agent-Based Models
79(1)
5.2.6 Economic Models
79(1)
5.3 Land Change Modeling for Present and Future Environmental Dynamics
79(1)
5.4 Urban Land Change Modeling: Development and Integration with Remote Sensing and Geographical Information System
80(1)
5.5 Case Study of Lucknow
80(4)
5.5.1 Study Area
80(1)
5.5.2 Data and Software Used
81(1)
5.5.3 Methodology
81(2)
5.5.3.1 Preparation of Land Use and Land Cover of Lucknow District
81(1)
5.5.3.2 Prediction of Future Land Use and Land Cover of the Lucknow District
81(2)
5.5.4 Analysis and Results
83(1)
5.5.5 Conclusion
84(1)
References
84(3)
Chapter 6 Performance Analysis of Different Predictive Algorithms for the Land Features Modeling 87(22)
Pradeep Kumar
Rajendra Prasad
Arti Choudhary
Sudhir Kumar Singh
6.1 Introduction
88(1)
6.2 Description of Study Area and Materials
89(1)
6.3 Methodology
90(6)
6.3.1 Image Processing of Satellite Data
90(1)
6.3.1.1 Image Preprocessing
90(1)
6.3.2 Separability Analysis
91(1)
6.3.2.1 Transformed Divergence Method
92(1)
6.3.2.2 Jefferies Matusita Distance Method
92(1)
6.3.3 Image Classification
92(2)
6.3.3.1 Support Vector Machines-Based Classification
92(1)
6.3.3.2 Artificial Neural Network-Based Classification
93(1)
6.3.3.3 Random Forest-Based Classification
94(1)
6.3.4 Selected Measures
94(1)
6.3.4.1 Marginal Rates
94(1)
6.3.4.2 F-Measure
95(1)
6.3.4.3 Jaccard Coefficient
95(1)
6.3.4.4 Classification Success Index
95(1)
6.3.5 Statistical Significance of Classification Accuracy by Z-Test
95(1)
6.4 Results and Discussion
96(9)
6.4.1 Support Vector Machines-Based Summary of Classification Accuracy
99(2)
6.4.2 Artificial Neural Network-Based Summary of Classification Accuracy
101(1)
6.4.3 Random Forest-Based Summary of Classification Accuracy
102(1)
6.4.4 Postprocessing Summary of Classification Accuracy
103(1)
6.4.5 Analyses of Statistical Significance in the Classification Accuracy of Two Algorithms
104(1)
6.5 Conclusion
105(1)
Acknowledgment
105(1)
References
105(4)
Chapter 7 Urban Growth and Management in Lucknow City, the Capital of Uttar Pradesh 109(14)
Akanksha Balha
Chander Kumar Singh
7.1 Introduction
109(1)
7.2 Urbanization as a Phenomenon
110(1)
7.3 Scenario of Urbanization in Developing and Developed Nations
110(1)
7.4 Linkage between Urban Growth, Ecology, and Growth Management
111(1)
7.5 Application of Remote Sensing, Geographic Information System, and Spatial Metrics in Urban Growth Studies
112(3)
7.6 Case Study of Lucknow
115(5)
7.6.1 Study Area
115(1)
7.6.2 Data and Software Used
115(1)
7.6.3 Methodology
115(3)
7.6.3.1 Preparation of Land Use Land Cover of Lucknow District
115(1)
7.6.3.2 Analysis of Urban Sprawl
116(2)
7.6.4 Analysis and Results
118(1)
7.6.5 Conclusion
119(1)
References
120(3)
Chapter 8 Change in Volume of Glaciers and Glacierets in Two Catchments of Western Himalayas, India since 1993-2015 123(8)
Mohd Soheb
AL. Ramanathan
Manish Pandey
Sarvagya Vatsal
8.1 Introduction
123(1)
8.2 Study Region
124(1)
8.3 Data and Methods
125(2)
8.3.1 Catchment and Glacier Areas
125(1)
8.3.2 Thickness and Volume Estimation
125(2)
8.4 Results and Discussion
127(1)
8.4.1 Total Glaciated Area in Stok and Matoo Village Catchments
127(1)
8.4.2 Ice Reserved in Stok and Matoo Village Catchments
127(1)
8.5 Conclusion
128(1)
Acknowledgments
129(1)
References
129(2)
Chapter 9 Analysis of Drainage Morphometry and Tectonic Activity in the Dehgolan Basin Kurdistan, Iran, Using Remote Sensing and Geographic Information System 131(20)
Payam Sajadi
Amit Singh
Saumitra Mukherjee
Harshita Asthana
P. Pingping Luo
Kamran Chapi
9.1 Introduction
132(1)
9.2 Study Area
133(2)
9.2.1 General
133(1)
9.2.2 Geological Settings
133(1)
9.2.3 Tectonic Setting
133(2)
9.3 Materials and Methods
135(2)
9.3.1 Stream Order
135(1)
9.3.2 Stream Number
136(1)
9.3.3 Stream Length
136(1)
9.3.4 Drainage Density
136(1)
9.3.5 Hypsometric Curve
136(1)
9.3.6 Hypsometric Integral
136(1)
9.3.7 Stream-Length Gradient Index (Hack's Index)
136(1)
9.3.8 Drainage Basin Asymmetry
137(1)
9.3.9 Elongation Ratio
137(1)
9.3.10 River Sinuosity
137(1)
9.3.11 Basin Slope
137(1)
9.4 Results
137(9)
9.4.1 Morphometric Indices
137(2)
9.4.1.1 Stream Order
137(1)
9.4.1.2 Stream Number
137(1)
9.4.1.3 Stream Length
137(1)
9.4.1.4 Drainage Density
138(1)
9.4.2 Morphotectonic Indices
139(15)
9.4.2.1 Hypsometric Curve and Hypsometric Integral
139(3)
9.4.2.2 Stream Length-Gradient Index (Hack's Index)
142(1)
9.4.2.3 Drainage Basin Asymmetry
142(1)
9.4.2.4 Elongation Ratio
142(3)
9.4.2.5 River Sinuosity
145(1)
9.4.2.6 Basin Slope
146(1)
9.5 Discussion
146(2)
9.6 Conclusion
148(1)
Acknowledgments
148(1)
References
148(3)
Chapter 10 Fog-A Ground Observation-Based Climatology and Forecast over North India 151(22)
Sanjay Kumar Srivastava
Rohit Sharma
Kamna Sachdeva
Anu Rani Sharma
10.1 Introduction
152(1)
10.2 Study Area
152(2)
10.3 Dataset and Methodology
154(3)
10.3.1 Fog Climatology
154(1)
10.3.2 Time Series and Trend Analysis
155(1)
10.3.3 Geospatial Analysis
155(1)
10.3.4 Autoregressive Integrated Moving Average Modeling
156(1)
10.3.5 Fog Relationship with Aerosol Optical Depth
156(1)
10.4 Results and Discussions
157(12)
10.4.1 Long-Term Climatology of Fog
157(1)
10.4.2 Duration and Variability of Fog
158(2)
10.4.3 Intensity and Persistence of Fog
160(1)
10.4.4 Trend Analysis
161(3)
10.4.5 Decadal Time Series and Trend Analysis over IGP
164(1)
10.4.6 Spatial Variability
164(3)
10.4.7 Autoregressive Integrated Moving Average Modeling
167(1)
10.4.8 Relationship between Fog Occurrence and Aerosol Optical Depth
168(1)
10.5 Conclusion
169(2)
References
171(2)
Chapter 11 Estimation of Evapotranspiration through Open Access Earth Observation Data Sets and Its Validation with Ground Observation 173(18)
Kishan Singh Rawat
Sudhir Kumar Singh
Anju Bala
11.1 Introduction
174(1)
11.2 Methodology
175(8)
11.2.1 Study Area
175(1)
11.2.2 Method of Evapotranspiration Comparisons
175(1)
11.2.2.1 Comparison with Lysimeter
175(1)
11.2.3 Remote Sensing Observation
176(1)
11.2.4 Surface Energy Balance Algorithm for Land Model
177(6)
11.2.4.1 Estimation of Land Surface Variables Using Surface Energy Balance Algorithm for Land
177(1)
11.2.4.2 Solving the Surface Radiation Balance Equation for Rn
177(1)
11.2.4.3 Soil Heat Flux
177(1)
11.2.4.4 Sensible Heat Flux
178(1)
11.2.4.5 Evaporative Fraction
179(1)
11.2.4.6 Daily Evapotranspiration
179(4)
11.3 Results and Discussions
183(3)
11.3.1 LAI and Normalized Difference Vegetation Index Relationship
184(1)
11.3.2 Result from Comparison with Conventional Method
185(1)
11.4 Summary and Conclusions
186(1)
Acknowledgment
187(1)
References
187(4)
Chapter 12 Use of Hydrological Modeling Coupled with Geographical Information System for Plotting Sustainable Management Framework 191(16)
Pankaj Kumar
Chander Kumar Singh
12.1 Introduction
192(1)
12.2 Study Area
193(2)
12.2.1 Hydrogeologic Setting and Aquifer Systems of the Area
194(1)
12.3 Methodology
195(6)
12.3.1 Data Collection and Processing
195(1)
12.3.2 Ground Water Simulation Model
195(1)
12.3.3 Spatial and Temporal Discretization of the Model Domain
195(2)
12.3.4 Boundary Conditions
197(12)
12.3.4.1 Land Use Land Cover
198(1)
12.3.4.2 Soil Types
199(2)
12.4 Results and Discussion
201(3)
12.5 Conclusion
204(1)
References
204(3)
Chapter 13 CERES-Rice Model to Define Management Strategies for Rice Production; Soil Moisture and Evapotranspiration Estimation during Drought Years-A Study over Parts of Madhya Pradesh, India 207(16)
Sourabh Shrivastava
S.C. Kar
Anu Rani Sharma
13.1 Introduction
208(1)
13.2 Material and Method
209(1)
13.2.1 Study Region
209(1)
13.2.2 Data Used
209(1)
13.3 Result and Discussion
210(10)
13.3.1 Observed Rainfall and Temperature Variability
210(2)
13.3.2 Rainfall Anomalies and Madden-Julian Oscillation Indices
212(2)
13.3.3 Variability in Crop Yield
214(1)
13.3.4 Sensitivity Analysis
215(2)
13.3.5 Detrend Analysis of the Simulated Yield
217(1)
13.3.6 Simulated and Remotely Sensed Evapotranspiration
218(1)
13.3.7 Simulated and Remotely Sensed Soil Moisture
219(1)
13.4 Conclusion
220(1)
References
220(3)
Chapter 14 Simulation of Hydrologic Processes through Calibration of SWAT Model with MODIS Evapotranspiration Data for an Ungauged Basin in Western Himalaya, India 223(20)
Pratik Dash
14.1 Introduction
224(2)
14.2 Study Site
226(1)
14.3 Material and Methods
227(3)
14.3.1 The Soil and Water Assessment Tool Model
227(1)
14.3.2 Data Preparation
227(1)
14.3.3 Model Setup
228(1)
14.3.4 Calibration and Validation
228(2)
14.4 Results and Discussions
230(8)
14.4.1 Sensitivity Analysis
230(1)
14.4.2 Groundwater Parameters
230(2)
14.4.2.1 Threshold Depth of Water in the Shallow Aquifer Required for Return Flow
230(1)
14.4.2.2 Threshold Water Level in Shallow Aquifer for Re-evaporation (REVAP)
230(1)
14.4.2.3 Groundwater "Revap" Coefficient
230(1)
14.4.2.4 Groundwater Recharge to Deep Aquifer
231(1)
14.4.3 Soil Parameters
232(1)
14.4.3.1 Soil Depth
232(1)
14.4.3.2 Available Water Capacity in Soil
233(1)
14.4.3.3 Saturated Hydraulic Conductivity
233(1)
14.4.4 Hydrologic Response Units Parameters (.hru)
233(1)
14.4.4.1 Plant Uptake Compensation Factor
233(1)
14.4.4.2 Soil Evaporation Compensation Coefficient
233(1)
14.4.4.3 Maximum Canopy Storage
234(1)
14.4.5 Calibration and Validation
234(2)
14.4.6 Hydrologic Simulations (Water Balance)
236(2)
14.5 Limitations
238(1)
14.6 Conclusion
238(1)
Acknowledgments
239(1)
References
239(4)
Chapter 15 Impact of Land Use and Land Cover Changes on Nutrient Concentration in and around Kabar Tal Wetland, Begusarai (Bihar), India 243(8)
Rajesh Kumar Ranjan
Priyanka Kumari
15.1 Introduction
244(1)
15.2 Study Area
244(1)
15.3 Methodology
245(1)
15.4 Results
246(2)
15.4.1 Land Use/Land Cover Distribution
246(1)
15.4.2 Major Nutrients Concentration
246(2)
15.5 Discussion
248(1)
15.6 Conclusion
249(1)
Acknowledgment
249(1)
References
249(2)
Chapter 16 Evaluation of Spectral Mapping Methods of Mineral Aggregates and Rocks along the Thrust Zones of Uttarakhand Using Hyperion Data 251(24)
Soumendu Shekhar Roy
Chander Kumar Singh
16.1 Introduction
252(2)
16.1.1 Geological Setting
253(1)
16.2 Methodology
254(5)
16.2.1 Preprocessing Hyperion Data
254(1)
16.2.2 Bad Band Designation
255(1)
16.2.3 Radiometric Calibration
255(1)
16.2.4 Data Dimension Reduction
256(3)
16.2.4.1 Minimum Noise Fraction Transformation
256(1)
16.2.4.2 Endmember or Pure Pixel Extraction
256(1)
16.2.4.3 n-Dimensional Visualizer
257(2)
16.3 Spectral Analysis
259(2)
16.3.1 Spectral Library
259(1)
16.3.2 Endmember Spectral Library
259(1)
16.3.3 Spectral Analyst
259(3)
16.3.3.1 Binary Encoding
259(1)
16.3.3.2 Spectral Angle Mapping
260(1)
16.4 Spectral Mapping Method's Weights and Scores
261(1)
16.5 Weight Scores of Different Mapping Methods and the Results
262(10)
16.5.1 Field Spectra Data
270(2)
16.5.2 Evaluation of the Spectral Mapping Method
272(1)
16.6 Geological Interpretations of the Results
272(1)
16.7 Conclusion
272(1)
References
273(2)
Chapter 17 Assessment of Flood-Emanated Impediments to Kaziranga National Park Grassland Ecosystem-A Binocular Vision with Remote Sensing and Geographic Information System 275(16)
Surajit Ghosh
Subrata Nandy
Debarati Chakraborty
Raj Kumar
17.1 Grassland Ecosystem
276(1)
17.2 Kaziranga National Park
277(4)
17.2.1 History and Geographic Association
277(1)
17.2.2 Topography and Climate
278(2)
17.2.3 Vegetation and Ecosystem in Kaziranga National Park
280(1)
17.2.4 Components of Grassland Ecosystems of Kaziranga National Park
280(1)
17.2.5 Conservation Areas
280(1)
17.3 Brahmaputra River
281(1)
17.4 Flooding and Kaziranga National Park
281(1)
17.5 Role of Space Technology
282(5)
17.5.1 Land Use and Land Cover Mapping
283(1)
17.5.2 Flood Mapping through Active Microwave Sensor
284(2)
17.5.3 River Water Level Monitoring
286(1)
17.6 Remote Sensing and Geographic Information System Integration: Towards Near Real-Time Monitoring and Assessment
287(1)
17.6.1 Mobile Geographic Information System
287(1)
17.6.2 Android
288(1)
17.6.3 Overall System Architecture Design and Deployment
288(1)
17.7 Conclusion
288(1)
References
289(2)
Supplementary Information 291(10)
Index 301
Chander Kumar Singh is an Assistant Professor at TERI University in the Dept. of Regional Water Studies, and is a remote sensing and GIS specialist by training. He was awarded the Young Scientist Award by the International Union of Geological Sciences at the Euro Conference 2009, in Switzerland. He leads one of the most prestigious PEER Science, USAID funded studies. He has authored more than 70 research papers in journals and conferences in past 5 years. He has received grants from several international and national funding agencies such as USAID, National Science Foundation, International Growth Centre, UKAID, and Oxford University. He has delivered invited talks at MIT, Boston University, and Columbia University under HESN and Superfund research program.
Permanent link: https://www.kriso.lv/db/9781315229218_pe.html
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