Khalil Ganem
Research areas: Environmental Science · Ecology · Remote Sensing in Agriculture · Remote-Sensing Image Classification · Remote Sensing and Land Use
0000-0001-9126-7138
About
Bachelor's degree in Environmental Sciences and master's degree in Applied Geosciences, both granted by the University of Brasília (UnB). Experience in processing and analyzing remote sensing data in multiple platforms since 2012, with a focus on land use and land cover changes, carbon cycle and thermal response of natural and anthropic targets. Expertise in producing maps and validating LULC classifications of South American ecosystems. In the Brazilian government, experience working for the Ministry of the Environment and the Federal Senate in projects focused on the assessment of tools to monitor conservation units in the Cerrado biome and the reduction of carbon emissions through planting, respectively. At the National Institute for Space Research (INPE), my work is focused on mapping land cover of Northeast Brazil (NEB) using both remote sensing and fieldwork information. This study encompasses areas of four biomes within NEB - Amazon, Atlantic Forest, Caatinga and Cerrado.
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Publications (14)
- Remote Sensing-Based Phenology of Dryland Vegetation: Contributions and Perspectives in the Southern Hemisphere Save
- Mapping South America’s Drylands through Remote Sensing—A Review of the Methodological Trends and Current Challenges Save
- Impact of Atmospheric Correction on Land Cover Classification of the Topographic Chart SC-24-V-C (Petrolina) Using Google Earth Engine and Landsat-8 Images Save
- Analysis of the Urbanization in the Brazilian Island of São Luís – Maranhão using Spectral Indices. Save
- Comparative Analysis of the Atmospheric Correction Methods GREEN, ATREM, FLAASH and QUAC in the determination of EVI and EVI2 indices in AVIRIS data Save
- Comparison between Landsat-8 data with and without atmospheric correction in the land cover classification of the Caatinga biome: a byproduct of MapBiomas project Save
- Forest Carbon Sequestration at the University of Brasilia’s Darcy Ribeiro campus using Worldview-2 data Save
- Geoenvironmental Analysis of the Metropolitan Area of Brasilia based on the Application of Spectral Indices in Landsat-8 data Save
- Land Cover Classification by using Worldview-2 Images and InterIMAGE System Save
- Land cover classification of the Brazilian biome Caatinga using Landsat-8 Images and Google Earth Engine tool: a comparison between data with and without atmospheric correction Save
- Mapping of the Caatinga Biosphere Reserve through VANUI index Save
- Mapping of the Pantanal Biosphere Reserve through VANUI index Save
- Multitemporal Evaluation of the Urban Heat Islands Phenomenon in the Metropolitan Area of Brasilia based on the use of Landsat-5 and Landsat-8 data Save
- Seasonal Analysis of the relation between forest carbon sequestration and urban heat islands in the Brazilian metropolis of São Paulo, Rio de Janeiro, Belo Horizonte and Brasilia Save