Phenology_Mapping_Using_Remote Sensing_2016
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This document outlines a study to quantify spatial and temporal variation in canopy phenology using remote sensing. The study area would be a hilly region in northern Pakistan. The study would analyze time series satellite data like NDVI, climate data, digital elevation models, and topo maps to calculate phenology metrics including start of season, length of season, canopy height and density, and leaf area index. Statistical analysis would examine differences between classes, along geographical gradients, and due to climate. Additional analysis would explore variability among species and classes within the study area.
Phenology_Mapping_Using_Remote Sensing_2016
- 1. PHONOLOGICAL PROFILING USING REMOTE SENSING (Remote Sensing based Quantification of Spatial and Temporal variation in Canopy Phenology) i. STUDY AREA: 1. Any Hilly Area (local to regional, depending upon data) a. Northern areas of Pakistan ii. DATASETS: 1. SPOT Vegetation 10-days Composite NDVI a. Cloud masking 2. Satellite data (Landsat images) 3. AVHHR NDVI data (OTHERS to be searched) 4. CORNIE (Availability for Pakistan????) _ Co-ordination of Information on the Environment Program 5. DEM (30m & 90m) 6. Topo-Map of Tress (or local data/calculations/surveys) 7. Climate Data (images and tabular) a. Daily Mean Temperature b. Daily Max and Min Temp c. Daily Precipitation d. Daily Sea-level Pressure 8. TIMESAT (OTHERS to be searched) a. Time series analysis program iii. PHENOLOGY CALCULATIONS: 1. SOS (Start of season) 2. LOS (Length of season) 3. Canopy height and density 4. LAI (Leaf Area Index) 5. Max NDVI 6. Integral NDVI etc
- 2. iv. STATISTICAL ANALYSIS: 1. Between different classes 2. Along geographical gradient 3. Due climate 4. Area-wise etc v. OTHER ANALYSIS: 1. Among different species of Same class 2. Variability among speciesclasses etc Spatial distribution of habitat modelling* 1st select any animal/birds/species of ocean Then select area Study its climate and ecosystem Then, at the end select any RS technique to monitor them Explore literature review and analysis