Landsat 4

CHAPTER FOUR 4. Results and Discussion 4.1 Change Detection Land-use/cover maps were produced for the year 1984, 1995, 2006, and 2016 (Fig 4.1). These maps show built-up area with purple color shows built-up area, the light yellow is agricultural area, the light red color is barren land/open space, the green color shows green areas and finally the water body is represented in blue color. The change in areal coverage for each category from 1984 to 2016 is clearly visible on the maps. At the beginning

wanted to uncover how the modern extent of bamboo could have resulted from the historical increases of fire presence and whether past invasions of bamboo dominance is persistent to the landscape and future state of Western Amazonia. Through the use of Landsat imagery, field surveys and other means of technology, these researchers were able to show the impacts of fire on bamboo in major cities of Los Amigos, Cocha Cashu, Peru, and Acre, Brazil. The purpose of this article has gained the interest of many

Rainfall induced landslide probability mapping for central province 1Edward H. Waithaka, Jomo Kenyatta University of Agriculture and Technology, Department of Geomatic Engineering & Geospatial Information Systems. P.o. Box 62000-00200, Nairobi, Kenya Email: hunja@eng.jkuat.ac.ke 2 Thomas G. Ngigi Email: tomngigi@hotmail.com 3Mercy W. Mwaniki, Email: mercimwaniki@yahoo.com Abstract Rainfall induced landslide hazards in Kenya represents a major challenge and remain an important issue in disaster

. Modeling the agrometeorological indices The surface temperature (T0) product was not used because with a lower spatial resolution (1000 km), there were cloud contaminations in some parts of the Minas Gerais state along the years. Instead, T0 was retrieved by residue in the radiation balance after having estimated the atmospheric and surface emissivities (Teixeira et al., 2016a,b). Cleugh et al. (2007) pointed out that the use of instantaneous measurements of the radiometric surface temperature

Land-Cover Segregation of Coastal Area using K-Means Algorithm Manjari Saha Computer Science and Engg. Dept., Govt. College of Engineering and Textile Technology, Serampore, Hooghly, West Bengal, PIN-712201. India. E-Mail: cmanjari@gmail.com Abstract Coastal areas provide livelihood facilities to many and also offer vast recreational and economic activities, and yet, at the same time, such eco-regions require to be managed with special emphasis and consideration of its natural and cultural resources

Essay on the development history of GIS Introduction This essay is about the development history of GIS (Geographical Information System). In the next paragraph the work of Charles Piquet in 1832 and John Snow in 1854 is mentioned. Furthermore the paragraph traces the development history between 1960 and 2014. It lists the development history from the Canadian GIS through the development of GPS until the launch of French satellite SPOT 7.The following paragraph defines the four major development

Introduction: Deforestation is the clearing of a forest and/or cutting down of trees for human benefits such as agriculture, wood exports, etc. Deforestation is the cause of numerous environmental impacts such as habitat loss, flooding and soil erosion. It can also cause climate change, by reducing the amount of rainfall and changing the amount of sunlight reflected from Earth’s surface and increases the risk of forest . Tree growth is important for biodiversity because they absorb carbon dioxide

transformation process, river flows throw many small channels besides the main one. 2011-2013 (Fig.3), erosion rate was high. During this two year, river made many small channels on its right bank due to erosion. On the other hand, in 2013-2015 (Fig.4), many small channels were accreted along with its main channel. Fig.1 Planform changes for (2007-2009) Fig.2 Planform

development and validation can be found in the following paper, Joshi et al. (2017). Turbidity in Apalachicola Bay, Florida from Landsat 5 TM and field data: Seasonal Patterns and responses to extreme events, Remote Sensing, 9, pp.367. 3. I would strongly recommend including satellite maps of chl-a for various sensors (any single matchup day) in section 3.4 along with figure 11 and 12. 4. All proposed MBR and chl-relationships are power law relationships [Chl-a=A X (Blue/Green)B] and I suggest that their

Selim Erguden #100867815 GEOM 3002 Doug King Blair Kennedy Lab#6 November 21, 2014 Part A: Non-computer Questions (4 marks) 1. In remote sensing, most units are expressed using the metric system. For example, the near infrared region of the spectrum is comprised of electromagnetic radiation of wavelengths extending from about 0.7-1.4m. Express this range in: meters using scientific notation (i.e., #.# x 10n m), and in nanometers. (1) Meters: 1 um = 10^-6 meters 0