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--- geodma [2017/08/03 20:37] – [Downloads] tkorting
+++ geodma [2025/08/21 17:56] (atual) – [Load Raster and Apply Segmentation] thales
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 ===== Downloads =====
 ^ Release ^ TerraView Version ^ Date ^ Download link  ^ Release Notes ^
-|Releases compatible to TerraLib 5|||||
+|Releases compatible to TerraLib 5 -> //watch [[http://wiki.dpi.inpe.br/doku.php?id=geodma#how_to_install_geodma_in_terraview_5|30sec video (below)]] to learn how to install GeoDMA 2.0.0// |||||
+| GeoDMA 2.0.5 beta | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=TerraView-5.7.1-win64.exe|5.7.1]] | Aug, 30, 2024 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.5-beta-setup.exe|geodma-2.0.5-beta-setup.exe ]] |  |
+| GeoDMA 2.0.4 beta | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.6.5-win64.exe|5.6.5]] | Aug, 11, 2023 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.4-beta-setup.exe|geodma-2.0.4-beta-setup.exe ]] |  |
+| GeoDMA 2.0.3 beta | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.6.1-win64.exe|5.6.1]] | Mar, 24, 2021 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.3-beta-setup.exe|geodma-2.0.3-beta-setup.exe ]] |  |
+| GeoDMA 2.0.1 beta | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.5.1-win64.exe|5.5.1]] | Aug, 4, 2020 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.1-beta-setup.exe|geodma-2.0.1-beta-setup.exe ]] | This is the second beta version, compatible to the original TerraView |
+| GeoDMA 2.0.0 beta //source-code// | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.4.0-win64.exe|5.4.0 ]] | Nov, 21, 2018 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-develop-2018-11-21-11-03.tar.gz|geodma-develop-2018-11-21-11-03.tar.gz ]] | This file contains //ONLY THE SOURCE-CODE// for version 2.0.0. To download the latest source-code please check '[[geodma_2:build_inst|Building and Configuring GeoDMA]]'. |
+| GeoDMA 2.0.0 beta | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.3.3-win64.exe|5.3.3 ]] | Aug, 29, 2018 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.0-beta-setup.exe|geodma-2.0.0-beta-setup.exe ]] | This is the first beta version, compatible to the original TerraView |
+| GeoDMA 2.0.0 alpha 3 | [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.3.1-win64.exe|5.3.1 ]] | May, 7, 2018 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.0-alpha3-setup.exe|geodma-2.0.0-alpha3-setup.exe ]] | This is an alpha version, compatible to the original TerraView |
+| GeoDMA 2.0.0 alpha 2 | 5.2.2 | Nov, 6, 2017 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma-2.0.0-alpha2-setup.exe|geodma-2.0.0-alpha2-setup.exe ]] | This is an alpha version. It requires a specific version of Terraview 5, downloadable from [[http://www.dpi.inpe.br/terralib5/download/download.php?FileName=TerraView-5.2.2-win64.exe|this link ]] |
 | GeoDMA 2.0.0 alpha | 5.2.1 | June, 14, 2017 | [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=geodma2.0.0-alpha_setup.exe|geodma2.0.0-alpha_setup.exe ]] | This is an alpha version. It requires a specific version of Terraview 5, downloadable from [[http://www.dpi.inpe.br/geodma/download/download.php?FileName=TerraView-5.2.1-win64-release-5.2-2017-06-13_21-52.exe|this link ]] |
 |Releases compatible to TerraLib 4|||||
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 It is easy and straightforward. After downloading/installing TerraView 5 in your computer, follow the instructions of this 35 seconds video:
-{{:thales:geodma-instalation.mp4?800|}}
+{{:thales:geodma-2-instalation.mp4?800|}}
+===== Quick Tutorial - From Raster to Land Cover Map using GeoDMA =====
+==== Load Raster and Apply Segmentation ====
+The first step is to use TerraView software to load and visualize image (download [[https://github.com/tkorting/remote-sensing-images/raw/refs/heads/master/pan-2025-03-04.tif| using this link]]). We selected the True Color composition for our 4 bands image (Blue, Green, Red, Nir), using bands 2, 1 and 0.
+We also applied the 2% image stretching to provide a fast visualization with high contrast. With the image on the screen, we selected the Image Segmentation method to produce regions according. We have selected the minimum number of pixels as 25 to avoid very small regions, and defined a similarity threshold of 0.01, based on the minimum euclidean distance of pixels with 4 bands to be considered homogeneous.
+|Loading Raster in TerraView {{ :thales:terraview-load-raster-rgb-2p.mp4?400 |1. Load Raster, 2. Define True Color composition, 3. Apply high contrast}} | Apply image segmentation in TerraView {{ :thales:terraview-segmentation.mp4?400 |Apply segmentation using Region Growing method}} |
+==== Extract Features and Select Samples ====
+Based on the regions obtained by the segmentation, we call GeoDMA Feature Extraction tool that produces a table full of features. **This process can take several minutes** (~15 minutes in this case). We also select samples from the images to train a Decision Tree Algorithm.
+|Feature Extraction in GeoDMA {{ :thales:geodma-feature-extraction.mp4?400 |Feature Extraction (slow process)}}|Sample Selection in GeoDMA{{ :thales:geodma-sampling.mp4?400 |Sample selection, based on Land Cover classes expected to be present on the image}}|
+==== Classify and Visualize Results ====
+The final step is to load the C5.0 classification algorithm, that based on the previously selected samples, produces a Decision Tree and classify all regions. We define a visualization scheme based on the labels included on the table to visualize the final classification.
+{{ :thales:geodma-classification.mp4?600 |Applying Decision Trees and Visualizing the classification}}
 ===== Description =====
 The toolbox integrates the following techniques:
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 ===== People =====
-  * Thales Sehn Körting, source-code maintainer
+  * Thales Sehn Körting, project manager
-  * Leila Maria Garcia Fonseca, project manager
+  * Leila Maria Garcia Fonseca
   * Emiliano Ferreira Castejon
 ==== Collaborators ====
@@ Linha 117: / Linha 145: @@
 ==== Articles using GeoDMA ====
-If you have some paper whose results were produced with GeoDMA, [[mailto:thales.korting@inpe.br|please share with us]].
+If you have some paper whose results were produced with GeoDMA, [[thales.korting@inpe.br|please share with us]].
+  * Silva, N. O., Falcão, E.C. [[http://urlib.net/ibi/8JMKD3MGP6W34M/3U6KSQS|Análise orientada a objetos geográficos, através de árvore de decisão, para classificação da cobertura do solo, no semiárido da Paraíba]] **Anais do XIX SBSR**. 2019.
+  * Gonçalves, V.P., Ribeiro, E.A.W., Imai, N.N. [[https://doi.org/10.3390/rs14122805|Mapping Areas Invaded by Pinus sp. from Geographic Object-Based Image Analysis (GEOBIA) Applied on RPAS (Drone) Color Images]] **Remote Sensing**, v. 14, 2805. 2022.
+  * Assis, T., Escada, M., Amaral, S. [[https://doi.org/10.3390/land10040352|Effects of Deforestation over the Cerrado Landscape: A Study in the Bahia Frontier]] **Land**, v. 10, 352. 2021.
+  * Yanai, A., Paulo, G., Escada, M., Ziccardi, L., Fearnside, P. [[https://doi.org/10.1016/j.jenvman.2020.110555|Deforestation dynamics in Brazil's Amazonian settlements: Effects of land-tenure concentration]] **Journal of Environmental Management**, v. 268, 15. 2020.
+  * Josselin, D., Louvet, R. [[https://www.mdpi.com/2220-9964/8/3/156/htm|Impact of the Scale on Several Metrics Used in Geographical Object-Based Image Analysis: Does GEOBIA Mitigate the Modifiable Areal Unit Problem (MAUP)?]] **International Journal of Geo-Information**, v. 8, 156. 2019.
+  * Dutra, A. Shimabukuro, Y. Escada, M.I. [[https://www.mdpi.com/2504-3900/2/7/356|Data Mining Using NDVI Time Series Applied to Change Detection]], **Proceedings**, v. 2, 356. 2018.
+  * Prudente, V.R., Silva, B., Johann, J., Mercante, E., Oldoni, L. [[http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501015|Comparative assessment between per-pixel and object-oriented for mapping land cover and use]], **Journal of the Brazilian Association of Agricultural Engineering**, v. 37, 1015-1027. 2017.
+  * Wallace, L., Saldias, D.S., Reinke, K., Hillman, S., Hallyu, B. Jones, S. [[https://www.sciencedirect.com/science/article/pii/S1470160X18309774|Using orthoimages generated from oblique terrestrial photography to estimate and monitor vegetation cover]]. **Ecological Indicators**, v. 101, p. 91-101. 2019.
   * Maciel, A.M., Silva, M.P.S., Escada, M.I.S., França, F.S. [[http://data.ime.usp.br/sbbd2012/artigos/pdfs/sbbd_shp_26.pdf|Uma Metodologia para Descoberta de Relacionamentos Frequentes Entre Dados Espaciais de Desmatamento Usando Mineração de Grafos]]. Simpósio Brasileiro de Bancos de Dados, SBBD. São Paulo, Brazil. 2012.
   * Pinho, C.M.D., Fonseca, L.M.G., Körting, T.S., Almeida, C.M., Kux, H.J.H. [[https://www.researchgate.net/publication/254314186_Land-cover_classification_of_an_intra-urban_environment_using_high-resolution_images_and_object-based_image_analysis?ev=srch_pub|Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis]]. **International Journal of Remote Sensing**, 2012.
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 ====== For GeoDMA 0.2 and previous versions ======
-==== Source Code ====
+===== Source Code =====
 GeoDMA is free software, developed using [[http://www.terralib.org|TerraLib library]]. It works as a plugin for [[http://www.dpi.inpe.br/terraview|TerraView]], also free software. If you want to download the source code of GeoDMA, try the following:
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 We are currently using Microsoft Visual Studio 2010 with QT 3.2 to compile GeoDMA in Windows, and gcc to compile in Linux. More information about compilation issues, please visit http://www.terralib.org/.
-==== Manuals ====
+===== Manuals =====
-  * [[http://lucc.ess.inpe.br/doku.php?id=geodma:manual|GeoDMA 0.2 user manual]]
+  * [[geodma:manual_02|GeoDMA 0.2 user manual]]
   * [[geodma:features|Features description (GeoDMA 0.2)]]