Conservation Area Designation in the Andes - Archive ouverte HAL Accéder directement au contenu
Poster De Conférence Année : 2009

Conservation Area Designation in the Andes

Polina Lemenkova

Résumé

Current poster presents a student assignment on Course: 'GEOG6038 Calibration and Validation of Earth Observation Data'. Study aim is image classification using ENVI GIS and remote sensing data aimed at national park area classification. Study area is Páramo National Park in Ecuador is known for its unique natural resources in high altitude grasslands. The ecosystems of Páramo consist mostly of rare species and are the key protected area for exceptionally high endemism. ENVI software enablesd to make an analysis of the area in 9 (nine) working steps and to produce a map based on 2 criteria: vegetation amount and altitude. Methodology includes following steps: 1) True-colour composite of the ETM+ image, bands 3,2,1; 2) Image contrast enhancement (Enhance-Gaussian); 3) SRTM-Data Upload to derive elevation model; 4) 3D surface visualization; 5) Calculating Greenness Index; 6) Creation Vegetation Layer ROI; 7) Creating Altitude Layer Zones by “Intersect Regions” for each pair of ROIs. Final altitude zones are: Lowland Vegetation (1-2500m), Subparamo Vegetation (2501-3500), Paramo Vegetation (3501-4100) and Superparamo Vegetation (4101 – 5000). These zones are shown on the map in different colors (yellow, beige, two greens) ; 8) Mapping and Design; 9) 3D-Mapping and DEM. The research was done as part of MSc studies at the University of Southampton, UK, autumn 2009.
Fichier principal
Vignette du fichier
Lemenkova-Andes.pdf (5.3 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02448318 , version 1 (22-01-2020)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Polina Lemenkova. Conservation Area Designation in the Andes. Calibration and Validation of Earth Observation Data, Nov 2009, Southampton, United Kingdom. ⟨10.13140/RG.2.2.25715.89126⟩. ⟨hal-02448318⟩

Collections

TDS-MACS
11 Consultations
7 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More