{"id":470,"date":"2023-11-07T18:46:22","date_gmt":"2023-11-07T18:46:22","guid":{"rendered":"https:\/\/staging-venezuela.mapbiomas.org\/?page_id=470"},"modified":"2025-11-05T13:16:52","modified_gmt":"2025-11-05T17:16:52","slug":"metodologia-mapbiomas-agua","status":"publish","type":"page","link":"https:\/\/venezuela.mapbiomas.org\/en\/metodologia-mapbiomas-agua\/","title":{"rendered":"Method MapBiomas Water"},"content":{"rendered":"<p><strong>WATER SURFACE MAPPING: METHOD SUMMARY<\/strong><\/p>\n\n\n\n<p><strong>Aqu\u00ed presentamos una s\u00edntesis del m\u00e9todo desarrollado y aplicado por MapBiomas Agua. Para mayor informaci\u00f3n de los detalles metodol\u00f3gicos entre al ATBD (Documento Base de la Teor\u00eda del Algoritmo) en este <a href=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/11\/ATBD-AGUA-VENEZUELA-Col2_EN-1.pdf\" data-type=\"URL\" data-id=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/11\/ATBD-AGUA-VENEZUELA-Col2_ESP.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">LINK<\/a>.<\/strong><\/p>\n\n\n\n<p><strong>Presentation<\/strong><\/p>\n\n\n\n<p>El objetivo principal de MapBiomas Agua es&nbsp; mapear la din\u00e1mica del agua superficial en todo el territorio de los pa\u00edses amaz\u00f3nicos (Panamazon\u00eda), de forma mensual y anual desde 1996 al 2023. El conjunto de datos est\u00e1n disponibles p\u00fablicamente en una plataforma web para mejorar la gesti\u00f3n y el uso de los recursos h\u00eddricos en toda la Panamazon\u00eda.&nbsp;<\/p>\n\n\n\n<p>El mapeo de superficie de agua en los pa\u00edses amaz\u00f3nicos us\u00f3 todas las escenas del sat\u00e9lite Landsat con una cobertura de nubes&nbsp; menor o igual al 70%&nbsp; y una resoluci\u00f3n espacial de 30 metros. El mapeo fue conducido a una escala de sub-p\u00edxel (SWSC), con An\u00e1lisis de Mixtura Espectral (SMA &#8211; por sus siglas en ingl\u00e9s) y reglas de clasificaci\u00f3n emp\u00edricas basadas en una l\u00f3gica fuzzy.&nbsp; El mapeo comprendi\u00f3 el periodo de 1996 a 2023, en la escala mensual, con un total de 396.000 escenas Landsat procesadas y analizadas en la plataforma Google Earth Engine.&nbsp;<\/p>\n\n\n\n<p><strong>Organization and database&nbsp;<\/strong><\/p>\n\n\n\n<p>The overall coordination of MapBiomas Water is led by Imazon and RAISG, while technical and operational coordination is directed by Geokarten. The reconstruction of the monthly historical series of surface water was carried out by specialists from all biomes of the Amazonian countries, under the leadership of the following institutions: Fundaci\u00f3n Amigos de la Naturaleza -FAN- (Bolivia), Fundaci\u00f3n Gaia Amazonas -FGA- (Colombia), EcoCiencia (Ecuador), Instituto del Bien Com\u00fan -IBC- (Per\u00fa), Provita y Wataniba (Venezuela), Alliance of Bioversity International y CIAT (Guianas y Suriname). The surface water mapping algorithm was developed by Imazon and adapted by MapBiomas Water in this initial phase of work.&nbsp;<\/p>\n\n\n\n<p>The development of the MapBiomas Water control panel (dashboard) was conducted by Geodatin and includes significant contributions from the MapBiomas Water working group and platform users in the design thinking process.&nbsp;<\/p>\n\n\n\n<p>Three types of products were produced by MapBiomas Water:&nbsp;<\/p>\n\n\n\n<ol>\n<li>Monthly and annual surface water maps;<\/li>\n\n\n\n<li>Surface water transition maps between \u201cWater\u201d and \u201cNon-water\u201d classes. This product was processed using the annual surface water database;<\/li>\n\n\n\n<li>Trend maps (increase and decrease) in surface water. This product was calculated from monthly surface water data in 5 km x 5 km grids.<\/li>\n\n\n\n<li>Mapas de tipos de cuerpos h\u00eddricos: naturales antr\u00f3picos, hidroel\u00e9ctrica y minero.<\/li>\n<\/ol>\n\n\n\n<p>The dashboard (<a href=\"https:\/\/plataforma.venezuela.mapbiomas.org\/agua\">link<\/a>) consists of maps, statistics, and visualization, analysis, and data access tools. It is possible to view the data on an annual and monthly scale, as well as obtain it in different territorial units. Finally, the dashboard also provides a link to access the MapBiomas Water data API.&nbsp;<\/p>\n\n\n\n<ul>\n<li><strong>Method<\/strong><\/li>\n<\/ul>\n\n\n\n<p>The following diagram illustrates the main stages in the process of classifying surface water in the Amazonian countries, involving a surface water sub-pixel classifier  (SWSC), decision tree, and post-classification procedures to generate annual and monthly surface water datasets.&nbsp;<\/p>\n\n\n\n<p><strong>Figure 1<\/strong> &#8211; El siguiente diagrama ilustra los principales pasos del proceso de clasificaci\u00f3n de superficies y cuerpos de agua en Venezuela.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2023\/11\/fig1b.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p><strong>Description of classification steps:<\/strong><\/p>\n\n\n\n<ol>\n<li><strong>Pre-processing:&nbsp;<\/strong><\/li>\n<\/ol>\n\n\n\n<p>El proyecto utiliz\u00f3 im\u00e1genes del archivo de datos Landsat (LDA, por sus siglas en ingl\u00e9s) disponible en la plataforma Google Earth Engine, incluyendo im\u00e1genes de los sensores Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) y Operational Land Imager (OLI), a bordo de los sat\u00e9lites Landsat 5, Landsat 7 y Landsat 8, respectivamente. Con una resoluci\u00f3n espacial de 30 metros por p\u00edxel, se utiliz\u00f3 la Colecci\u00f3n 2 Nivel 1 de im\u00e1genes Landsat ortorectificadas a la superficie. Se utilizaron todas las escenas Landsat que cubren a los pa\u00edses amaz\u00f3nicos (n = 211 348) entre 1996 y 2023, filtrando a trav\u00e9s de sus metadatos las escenas con una cobertura de nubes menor al 70 %.&nbsp;<\/p>\n\n\n\n<ol start=\"2\">\n<li><strong>Descripci\u00f3n de las etapas de clasificaci\u00f3n:<\/strong><\/li>\n<\/ol>\n\n\n\n<p>The original surface water sub-pixel classifier (SWSC) algorithm uses three hierarchical binary decision rules (i.e., true, false). Since water absorbs a large portion of electromagnetic radiation, a shade fraction image, the combination of GV and Soil and Cloud, is used to classify pixels as surface water. Additionally, a classification based on independent fuzzy logic (fuzzy rules) is applied, in which the degree of truth\/certainty (memberships) that a Landsat pixel is classified as water is determined. The average degree of truth was then calculated to obtain a continuous map of membership with values \u200b\u200branging from 0 to 1. Based on these memberships, the pixels are classified to produce monthly surface water layers.&nbsp;<\/p>\n\n\n\n<p>It\u2019s based on MEM compositional bands and fuzzy decision rules to obtain association maps (Water Membership) of water occurrence in the Landsat pixel. The monthly maps were obtained by combining the Water Membership values for i) a given month (detection) where pixels with a value &gt; 0.67 are considered water; ii) the decennial of the month under analysis and the average of the year (inclusion) where pixels with a value &gt; 0.5 are considered water; iii) the average of the year (exclusion) pixels with values &lt; 0.35. Figure 2 illustrates the monthly ranking process.&nbsp;<\/p>\n\n\n\n<p>Annual surface water maps include an identification between permanent and seasonal water, this classification is based on thresholds corresponding to the number of months in which a pixel is classified as water. For the first case, a frequency &gt;= 6 months is considered, and for the second, a frequency between 1 to 5 months.&nbsp;<\/p>\n\n\n\n<p><strong>Figure 2 \u2013 <\/strong>Example of detection, inclusion and exclusion of information applied to the mapping of monthly surface water.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2023\/11\/fig2b_1.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<ol start=\"3\">\n<li><strong>Clasificaci\u00f3n de los cuerpos h\u00eddricos:<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Para clasificar los cuerpos de agua se utiliza informaci\u00f3n extra\u00edda del mapeo anual de superficies de agua (permanente), que incluye: i) la primera y la \u00faltima ocurrencia del cuerpo de agua en el a\u00f1o, ii) la frecuencia total de la superficie de agua de la serie hist\u00f3rica y iii) la frecuencia anual. Dicha informaci\u00f3n fue organizada en datos matriciales y se utiliz\u00f3 un algoritmo de segmentaci\u00f3n de objetos.<\/p>\n\n\n\n<p>Los segmentos de cuerpos h\u00eddricos fueron clasificados mediante el algoritmo <em>Random Forest<\/em> en cinco categor\u00edas: natural, antr\u00f3pico, hidroel\u00e9ctrica, minera y de acuicultura.&nbsp; Adicionalmente, se incluy\u00f3 una clase de \u201cfalsos positivos\u201d para eliminar sobreestimaciones persistentes en los mapas de superficie anual y mensual. Posteriormente, se aplicaron filtros espaciales y de frecuencia; adem\u00e1s, se tomaron muestras adicionales y se delinearon pol\u00edgonos manuales para mejorar el resultado.<\/p>\n\n\n\n<p>Se extrajeron productos de datos auxiliares de hidroel\u00e9ctricas, tomados de acuicultura de MapBiomas Amazon\u00eda Colecci\u00f3n 6.&nbsp;<\/p>\n\n\n\n<p>En la figura 3 se observa el proceso de clasificaci\u00f3n de los cuerpos h\u00eddricos.<\/p>\n\n\n\n<p><strong>Figura 3 &#8211; <\/strong>Water body classification process.<\/p>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-b45d4a65 alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<div class=\"wp-block-uagb-container uagb-block-1bbbb36f\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"403\" height=\"277\" src=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3a.Proceso-de-clasificacion-de-cuerpos-hidricos.png\" alt=\"\" class=\"wp-image-1024\" srcset=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3a.Proceso-de-clasificacion-de-cuerpos-hidricos.png 403w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3a.Proceso-de-clasificacion-de-cuerpos-hidricos-300x206.png 300w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3a.Proceso-de-clasificacion-de-cuerpos-hidricos-18x12.png 18w\" sizes=\"(max-width: 403px) 100vw, 403px\" \/><\/figure>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-079003f4 alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<div class=\"wp-block-uagb-container uagb-block-fdb46c1b\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"340\" height=\"318\" src=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3b.Proceso-de-clasificacion-de-cuerpos-hidricos.png\" alt=\"\" class=\"wp-image-1025\" srcset=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3b.Proceso-de-clasificacion-de-cuerpos-hidricos.png 340w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3b.Proceso-de-clasificacion-de-cuerpos-hidricos-300x281.png 300w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3b.Proceso-de-clasificacion-de-cuerpos-hidricos-13x12.png 13w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/><\/figure>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-uagb-container uagb-block-572668cb alignfull uagb-is-root-container\"><div class=\"uagb-container-inner-blocks-wrap\">\n<div class=\"wp-block-uagb-container uagb-block-15776cb7\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"363\" height=\"313\" src=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3c.Proceso-de-clasificacion-de-cuerpos-hidricos.png\" alt=\"\" class=\"wp-image-1026\" srcset=\"https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3c.Proceso-de-clasificacion-de-cuerpos-hidricos.png 363w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3c.Proceso-de-clasificacion-de-cuerpos-hidricos-300x259.png 300w, https:\/\/venezuela.mapbiomas.org\/wp-content\/uploads\/sites\/5\/2025\/07\/3c.Proceso-de-clasificacion-de-cuerpos-hidricos-14x12.png 14w\" sizes=\"(max-width: 363px) 100vw, 363px\" \/><\/figure>\n<\/div>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>MAPEO DE LA SUPERFICIE DE AGUA: S\u00cdNTESIS DEL M\u00c9TODO Aqu\u00ed presentamos una s\u00edntesis del m\u00e9todo desarrollado y aplicado por MapBiomas Agua. Para mayor informaci\u00f3n de los detalles metodol\u00f3gicos entre al ATBD (Documento Base de la Teor\u00eda del Algoritmo) en este LINK. Presentaci\u00f3n El objetivo principal de MapBiomas Agua es&nbsp; mapear la din\u00e1mica del agua superficial [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":""},"acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false,"infographic":false,"team":false},"uagb_author_info":{"display_name":"Adriel Fernandes","author_link":"https:\/\/venezuela.mapbiomas.org\/en\/author\/adriel-fernandes\/"},"uagb_comment_info":0,"uagb_excerpt":"MAPEO DE LA SUPERFICIE DE AGUA: S\u00cdNTESIS DEL M\u00c9TODO Aqu\u00ed presentamos una s\u00edntesis del m\u00e9todo desarrollado y aplicado por MapBiomas Agua. Para mayor informaci\u00f3n de los detalles metodol\u00f3gicos entre al ATBD (Documento Base de la Teor\u00eda del Algoritmo) en este LINK. Presentaci\u00f3n El objetivo principal de MapBiomas Agua es&nbsp; mapear la din\u00e1mica del agua superficial&hellip;","_links":{"self":[{"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/pages\/470"}],"collection":[{"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/comments?post=470"}],"version-history":[{"count":12,"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/pages\/470\/revisions"}],"predecessor-version":[{"id":1208,"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/pages\/470\/revisions\/1208"}],"wp:attachment":[{"href":"https:\/\/venezuela.mapbiomas.org\/en\/wp-json\/wp\/v2\/media?parent=470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}