Towards an Integrated Global Land Cover Monitoring and Mapping System

Herold, Martin; See, Linda; Tsendbazar, Nandin‐Erdene; Fritz, Steffen

doi:10.3390/rs8121036

Cited by 27 publications

(19 citation statements)

References 44 publications

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“…The performance further improves when a priori information on the soil type is taken into account. acquisition and algorithms [9]. In addition, all of the mentioned land cover products provide the land cover type, but usually lack phenological information.The use of Synthetic Aperture Radar (SAR) for land cover classification, and in particular crop classification, is only successful when time series are taken into account [10].…”

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Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

et al. 2018

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Current space-based SAR offers unique opportunities to classify vegetation types and to monitor vegetation growth due to its frequent acquisitions and its sensitivity to vegetation geometry. However, SAR signals also experience frequent temporal fluctuations caused by precipitation events, complicating the mapping and monitoring of vegetation. In this paper, we show that the influence of a priori known precipitation events on the signals can be used advantageously for the classification of vegetation conditions. For this, we exploit the change in Sentinel-1 backscatter response between consecutive acquisitions under varying wetness conditions, which we show is dependent on the state of vegetation. The performance further improves when a priori information on the soil type is taken into account.

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Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

et al. 2018

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“…The Global Land Cover (GLC) map is a widely used global open dataset that could be employed as a source of disaster exposure data. A number of medium resolution (300-1000 m) GLC maps have been developed over the last two decades [8]. With the development of open satellite archives and large data processing and storage tools, higher resolution (less than 30 m) GLP maps such as Globeland30 [9,10] have been produced since 2013 [11].…”

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Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood

Cui

Liu

et al. 2017

IJGI

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Major disasters typically impact large areas, cause considerable damages, and result in significant human and economic losses. The timely and accurate estimation of impacts and damages is essential to better understand disaster conditions and to support emergency response operations. Geo-information drawn from various sources at multi spatial-temporal scales can be used for disaster assessments through a synthesis of hazard, exposure, and post disaster information based on pertinent approaches. Along with the increased availability of open sourced data and cooperation initiatives, more global scale geo-information, including global land cover datasets, has been produced and can be integrated with other information for disaster dynamic damage assessment (e.g., impact estimation immediately after a disaster occurs, physical damage assessment during the emergency response stage, and comprehensive assessment following an emergency response). Residential areas and arable lands affected by the flood disaster occurring from July to August 2015 in Myanmar were assessed based on satellite images, GlobeLand30 data, and other global open sourced information as a study case. The results show that integrating global open geo-information could serve as a practical and efficient means of assessing damage resulting from major disasters worldwide, especially at the early emergency response stage.

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“…El uso del suelo tiene implicaciones legales y científicas, con aplicaciones en la seguridad alimentaria, la biodiversidad, la salud humana, el cambio climático o razones militares, lo cual conlleva la adecuada toma de decisiones a partir de dicho mapeo; son herramientas actuales del quehacer y conocimiento humano (Herold, See, Nandin-Erdene & Fritz, 2016).…”

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Clasificación de ecosistemas objeto de conservación en la zona costera del pacífico sur de Costa Rica

Villegas-Arguedas¹

2017

RPyS

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Resumen. Se clasificaron los polígonos de ecosistemas mediante fotointerpretación y análisis multiespectral en la zona costera de dos distritos del sur de Costa Rica, con la finalidad de identificar sitios sujetos de actividades para la conservación de la biodiversidad. Entre mayo y octubre 2016, se delimitaron y corroboraron en campo dichos ecosistemas. Los bosques se establecieron mediante fotointerpretación y establecimiento de puntos de verificación. En el caso de terrenos de aptitud forestal, se verificaron con medidas de inclinación porcentual promedio y el empleo de un inclinómetro de lectura óptica marca Suunto PM-5/1520; el parámetro mínimo en terrenos fue de más de 60% de pendiente, adicionalmente, la pedregosidad y la profundidad del suelo. Los humedales se obtuvieron/dispusierona partir de la existencia de vegetación hidrófita, suelos inundados o inundables y fauna asociada. La verificación de cada capa de ecosistemas se estableció gracias al índice de concordancia de Kappa-Cohen que utiliza las coberturas del suelo como modelo predictivo contra una red de puntos de ubicación geoespacial (GPS) de comprobación de campo, donde concordancias superiores al 70% validan el modelo y la fotointerpretación. Se delimitaron 188 polígonos de cuatro tipos de ecosistemas, donde el bosque solo cubre 639.1 ha. El área total de estudio corresponde con 12 223.10 ha., el mayor ecosistema natural es el manglar con 2808.64 ha. No se clasificaron terrenos de aptitud forestal sin bosque, mientras que los humedales correspondieron a 39 polígonos con un área total de 138.40 ha; y las asociaciones vegetales a humedales o manglares (AVHM), a 31 polígonos que cubren un área de 629.84 ha. Se concluye que estos ecosistemas naturales son alternativas de desarrollo sostenible para las comunidades con base en la actividad turística. Es recomendable que el Estado y las comunidades promuevan una agenda conjunta de desarrollo que permita aprovechar las ventajas de los ecosistemas naturales, también, se sugiere que los ecosistemas sujetos de conservación se incluyan como parte del Patrimonio Natural del Estado.Abstract. The ecosystem polygons were classified by photointerpretation and multispectral analysis in the coastal zone of two districts of the southern part of Costa Rica to identify sites subject to activities for the conservation of biodiversity. Between May and October 2016, these ecosystems were delimited and corroborated in the field. Forests were established by photointerpretation and establishment of verification points, in the case of land of forest aptitude, they were verified with measures of average percentage inclination by means of an optical reading inclinometer Suunto PM-5/1520, land with more than 60% slope being the minimum parameter, in addition to stoniness and depth of the soil. Wetlands were determined from the existence of hydrophilic vegetation, flooded soils or flood areas and associated fauna. The verification of each ecosystem layer was determined from the Kappa-Cohen Concordance Index that uses the ground...

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Towards an Integrated Global Land Cover Monitoring and Mapping System

Cited by 27 publications

References 44 publications

Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood

Clasificación de ecosistemas objeto de conservación en la zona costera del pacífico sur de Costa Rica

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