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| Author | : Faris Alassadi |
| Publisher | : Lulu.com |
| Total Pages | : 54 |
| Release | : 2018-03-26 |
| Genre | : Education |
| ISBN | : 1387692380 |
It is urgent to protect our world's forests. There is an estimate of nearly 46 to 58 thousand square miles of forest lost each year. That could be compared to the size of the state of Florida, which is 53,997 square miles.
| Author | : Thiago Nunes Kehl |
| Publisher | : Springer |
| Total Pages | : 75 |
| Release | : 2015-04-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3319157418 |
The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.
| Author | : Irene Šimić de Torres |
| Publisher | : |
| Total Pages | : |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
Deforestation around the world, especially on the tropics, is a current very important problem that is not being monitored appropriately, leading to belated reactions by environmental organizations and governments and more deforestation fronts every year. A project called Terra-I was created a few years ago with the aim of changing this by carrying out a temporal analysis of satellite images, from NASA MODIS satellite, to monitor near-real time information and accelerate the reactions to new deforestation fronts. This was performed at first only for the Amazonian forest and the whole South America but it is willing to be expanded to the whole tropics. Due to the launching of landsat8 satellite, with improved information about satellite images, this project proposes the idea of adding to that analysis a spatial one to improve the results of the deforestation detection carried out by Terra-I with the aid of machine learning algorithms.
| Author | : T.T.A. Nguyen |
| Publisher | : |
| Total Pages | : 25 |
| Release | : 1999 |
| Genre | : |
| ISBN | : |
| Author | : Gerald Nelson |
| Publisher | : |
| Total Pages | : 10 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
This paper demonstrates how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that proxy human influence are changed to reflect reduced impact, “forest” area increases and “irrigated crop” area is reduced.
| Author | : Erkki Tomppo |
| Publisher | : MDPI |
| Total Pages | : 352 |
| Release | : 2021-09-01 |
| Genre | : Science |
| ISBN | : 3036512527 |
The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
| Author | : Gerald Nelson |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
In this paper we demonstrate how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that proxy human influence are changed to reflect reduced impact, “forest” area increases and “irrigated crop” area is reduced.
| Author | : Melchor P. Deponio |
| Publisher | : |
| Total Pages | : 168 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
| Author | : Yana Juhana |
| Publisher | : |
| Total Pages | : 296 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
| Author | : Susan Pauline O'Hara |
| Publisher | : ISTE (Interntl Soc Tech Educ |
| Total Pages | : 260 |
| Release | : 2003 |
| Genre | : Education |
| ISBN | : 9781564842060 |
Contains multidisciplinary units featuring the use of computer and other educational technologies and based on the National Educational Technology Standards for Students devised by ISTE.
