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--- geodma [2019/01/21 11:55] – [Articles using GeoDMA] tkorting
+++ geodma [2019/05/14 19:12] – [Articles using GeoDMA] tkorting
@@ Linha 7: / Linha 7: @@
 ^ Release ^ TerraView Version ^ Date ^ Download link  ^ Release Notes ^
 |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 2.0.0 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 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 //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 |
@@ Linha 122: / Linha 122: @@
 If you have some paper whose results were produced with GeoDMA, [[thales.korting@inpe.br|please share with us]].
-  * 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.
+  * 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.