To the question of the environmental education: how Landsat TM, ETM+ and MSS images can be processed by GIS-techniques for geospatial research

• Main Author: Lemenkova, Polina
• Other Authors: Ocean University of China (OUC), Vitebsk State Technological University (VGTU), I. Y. Semenchukova
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2015
• Subjects: Satellite image analysis; Satellite image interpretation; Landsat 7 ETM+; Landsat Imagery; Landsat TM; GIS Analysis; GIS & Spatial Analyses; SIG Systèmes d'information géographique; SIG et aménagement; SIG et modélisation spatiale; ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION; ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education; ACM: K.: Computing Milieux/K.7: THE COMPUTING PROFESSION; ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING; ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.0: General; ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.1: Application Packages/K.8.1.0: Data communications; ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education; ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education/K.3.1.2: Computer-managed instruction (CMI); ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education/K.3.1.1: Computer-assisted instruction (CAI); ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education/K.3.2.3: Information systems education; ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education/K.3.2.1: Computer science education; ACM: K.: Computing Milieux/K.4: COMPUTERS AND SOCIETY; [SHS.EDU]Humanities and Social Sciences/Education; [SHS.ENVIR]Humanities and Social Sciences/Environmental studies; [SDE]Environmental Sciences; [SDE.ES]Environmental Sciences/Environmental and Society; [SDE.IE]Environmental Sciences/Environmental Engineering; [INFO.EIAH]Computer Science [cs]/Technology for Human Learning; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [SHS.GEO]Humanities and Social Sciences/Geography; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing; [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]; Bovanenkovo; Yamal Peninsula
• Online Access: https://hal.archives-ouvertes.fr/hal-01986790; https://hal.archives-ouvertes.fr/hal-01986790/document; https://hal.archives-ouvertes.fr/hal-01986790/file/Lemenkova-Vitebsk-Paper.pdf; https://doi.org/10.6084/m9.figshare.7211600

isbn: 978- 985-481-315-8 International audience The emphasis of this research is to demonstrate application of Landsat satellite imagery as a major resource for student and educational research. Landsat images are highly useful and strongly recommended for educational purposes as they are provided free of charge and timely regular geospatial data with 30-m resolution covering any places of the Earth. The case study describes mapping land cover types in ecosystems. It details how exactly satellite images can be used for geospatial research step by step. The research methodology is based spatial analysis tools of the open source GIS software: Quantum GIS and ILWIS GIS. The pre-processing of the imagery included data import and settings of colors and contrast. The contrast of the Landsat TM imagery has been enhanced using «Stretch To MinMax» function in QGIS viewer. The series of Landsat TM images, which cover Bovanenkovo region in Yamal peninsula with 30-m resolution, were initially stored as raster file in Erdas Imagine (.img) format. The images were imported to ILWIS from .img into ILWIS .mpr raster map format (ASCII) using GDAL. After converting, each image contained collection of 7 Landsat raster bands, as well as theirs metadata stored in Map List (.mpl) file, information about georeference (.grf) and coordinate system in .csy file. The coordinate systems of the Landsat imagery is based on the WGS 1984 datum. To improve the quality of image and visibility of coastal lines, the image enhancement of the Landsat bands was performed using Edge Enhancement linear filter from the Image Processing menu. Stretching filter was applied to the bands, in order to improve color contrast: since not all pixel values have been used in the image, the actual diapason range was stretched linearly to 0-255 values. To visualize spectral information from the Landsat image, a color composite map has been created using combination of three raster images of the individual bands. Supervised classification of the raster imagery ...