Skills in Remote Sensing and GIS:


Forest Monitoring with ClasLite

NASA ARSET Applied Remote Sensing Training - Land Management  Wildfire Applications with Satellite Imagery

APLLIED REMOTE SENSING TRAINING ARSET REMOTE SENSING FOR SCENARIO BASED ECOFORCASTING

NASA ARSET Applied Remote Sensing Training - Land Management Creating and Using Normalized Difference Vegetation Index (NDVI) from Satellite Imagery

ISSUES AND PROGRAMS USED:

 

  • TREATMENT OF AERIAL PHOTOGRAPHS OF UNMANNED AIRCRAFT AND ITS INTEGRATION IN GEOGRAPHIC INFORMATION SYSTEMS (GIS).

MeshLab, Fuiji, ArcGIS, AgiSoft.

 

  • PREPARATION AND ANALYSIS OF AIRBORNE IMAGES AND SATELLITE DATA AND ITS STATISTICAL INTERPRETATION.

 CLASLite, R (Random Forest), ArcGIS, ERDAS, ENVI Q-GIS, GRASS GIS,

SAGA GIS, Orfeo Tool Box (OTB)

 

  • DETECTION OF CHANGES (TIME SERIES ANALYSIS):

CLASLite, R (Random Forest), Open Foris, ENVI, ArcGIS.

 

  • HYDROLOGICAL STUDIES:

HEC-RAS, ArcGIS, GRASS GIS, Q-GIS.

 

  • PREPARATION OF THEMATIC MAPS READY TO PRINT:

ArcGIS, Q-GIS.

 

  • STUDIES OF LAND USE AND VEGETATION:

CLASLite , ArcGIS, GIS GRASS, Q-GIS.

 

  • FOREST COVERAGE ASSESSMENT AND ANALYSIS OF ITS CONDITION

CLASLite, Open Foris, R (Random Forest)


Villa Carlos Green, (Tabasco) - June 25, 2015 - Take Off   "Skywalker 2013 - E384"