Este texto aborda as aplicações de SIG e sensoriamento remoto em agrometeorologia.
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Remote sensing and GIS applications in agrometeorology
CONTENTS
12.1. Introduction to Remote Sensing Science
12.1.1. Reflective Remote Sensing
12.1.2. Thermal Remote Sensing
12.1.3. Microwave Remote Sensing
12.1.4. Earth Satellites
12.1.5. Weather Satellites
12.1.6. Derived products
12.2.1 Storing geographical data
12.2.2. Raster format
12.2.3. Vector format
12.2.4. Requirements of a GIS
12.2.5. Basic components of GIS
12.3. Integration of Remote sensing and GIS
12.3.1. Data Integration
12.3.2. Data Acquisition
12.3.3. Data Processing
12.3.3. 1. Geometric Rectification
12.3.3. 2. Data Conversion
12.3.3.3. Data Analysis
12.3.3.4. Classification System
12.3.3.5. Data Generalization
12.3.3.6. Error Assessment
12.3.3.7. Sampling
12.3.3.8. Spatial Autocorrelation
12.3.3.9. Locations Accuracy
12.3.3.10. Final Product Presentation Error
12.3.3.11. Decision Making
12.3.3.12. Implementation
12.3.3.13. Theory of Vegetation Indices
12.4. Operational Agrometeorological Products Employing Remote Sensing and GIS
12.4.1. Assessment of Meteorological and Agronomic Conditions to Aid Decision on Drought using Remote Sensing and GIS
12.4.1.1. Precipitation
12.4.1.2. Solar Radiation
12.4.1.3. Agronomic Conditions
12.4.2. Operational Use of Remote Sensing and GIS for Irrigation Scheduling
12.4.3. Remote Sensing for Soil and Crop Management
12.4.3.1. Evaporation
12.4.3.2. Soil Salinity
12.4.3.3. Remote Sensing for Precision Agriculture
12.4.3.4. Crop Growth and Intercepted Radiation
12.4.3.5. Nutrient Management
12.4.3.6. Pest Management
12.4.3.7. Selection of Growth Traits
12.4.3.8. Crop Yield Estimation
12.4.4. Assessing Environmental Sensitive Areas for Desertification Risk through Remote Sensing and GIS
12.4.5. Aquaculture and Remote Sensing
12.4.6. Operational use of Remote Sensing for Identification of Fishing Zones
12.4.7 . Forest Management through Remote Sensing
12.5 Collaborations for resource sharing in GIS and Remote Sensing
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