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

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 The...

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Bibliographic Details
Published in:International journal of conservation science 2022-07, Vol.13 (3), p.1015-1024
Main Authors: Cabrera, Pablo E, Florez-Yepez, Gloria Yaneth, Betancur-Perez, Jhon Fredy, Garces-Gomez, Yeison Alberto
Format: Article
Language:English
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
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Summary: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.
ISSN:2067-533X
2067-8223