ANALYSIS OF DISTURBANCE DYNAMICS IN TINIGUA NATIONAL NATURAL PARK USING TIME SERIES OF LANDSAT SATELLITE IMAGES

• Published in: International journal of conservation science Vol. 13; no. 3; pp. 1015 - 1024
• Main Authors: Cabrera, Pablo E, Florez-Yepez, Gloria Yaneth, Betancur-Perez, Jhon Fredy, Garces-Gomez, Yeison Alberto
• Format: Journal Article
• Language: English
• Published: Iasi International Journal of Conservation Science (IJCS) 01.07.2022
• Subjects: Algorithms; Atmospheric correction; Availability; Data collection; Data processing; Datasets; Earth surface; Human influences; Image enhancement; Information processing; Landsat; Landsat satellites; National parks; Reflectance; Remote sensing; Satellite imagery; Satellites; Sensors; Spatial analysis; Thematic Mappers (LANDSAT); Time series; Colombia
• ISSN: 2067-533X; 2067-8223

Abstract By applying data processing techniques of earth observation which makes easier to study human-induced changes in forest cover along with the availability of highly refined and standardized data, such as image collections LandSat 5 ETM (Enhanced Thematic Mapper), Landsat 7 ETM+ (Enhanced Thematic Mapper Plus) y Landsat 8 OLI (Operational Land Imager)/TIRS (Thermal Infrared Sensor) different types of variables are considered; together with tools of Google Earth Engine, an approach is developed that makes the spatial analysis more efficient and allows to know the evolution of a geographical space of interest. The second data set of the Landsat 7 ETM+ (Enhanced Thematic Mapper Plus) sensor, is available between the 1st of January 1999 and the 21st of October 2020, and the third data set features surface reflectance, atmospherically corrected of the sensors Landsat 8 OLI (Operational Land Imager)/TIRS (Thermal Infrared Sensor and Land Surface Reflectance Code) [16]. Methodology A transversal methodological process is identified in a wide range of research in remote sensing, which is aimed at standardizing and homogenizing the available information; this process can be generically divided into five phases: i) Data Collection and processing LandSat sensor imagery Time Series (LTS) were used, to which, algorithms were applied, to identify changes in time and generate graphical outputs that account for areas that have lost forest cover. ii) Geometric and radiometric corrections Geometric corrections refer to the image's adjustments to its actual position on the Earth's surface through its geo-referencing and orthorecification. Both indices show sensitivity in coverage changes, since they show changes in the sampling area for 1998, however, the Normalized Burn Index (NBR) shows a slight recovery, although without reaching pre-disruption levels. [...]the NBR index is taken as input within the LTdr algorithm.