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Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands
Remote Sensing ( IF 4.2 ) Pub Date : 2020-04-07 , DOI: 10.3390/rs12071182
Andy Hardy , Gregory Oakes , Georgina Ettritch

Knowledge of the location and extent of surface water and inundated vegetation is vital for a range of applications including flood risk management, biodiversity monitoring, quantifying greenhouse gas emissions, and mapping water-borne disease risk. Here, we present a new tool, TropWet, which enables users of all abilities to map wetlands in herbaceous dominated regions based on simple unmixing of optical Landsat satellite imagery in the Google Earth Engine. The results demonstrate transferability throughout the African continent with a high degree of accuracy (mean 91% accuracy, st. dev 2.6%, n = 10,800). TropWet demonstrated considerable improvements over existing globally available surface water datasets for mapping the extent of important wetlands like the Okavango, Botswana. TropWet was able to provide frequency inundation maps as an indicator of malarial mosquito aquatic habitat extent and persistence in Barotseland, Zambia. TropWet was able to map flood extent comparable to operational flood risk mapping products in the Zambezi Region, Namibia. Finally, TropWet was able to quantify the effects of the El Nino/Southern Oscillation (ENSO) events on the extent of photosynthetic vegetation and wetland extent across Southern Africa. These examples demonstrate the potential for TropWet to provide policy makers with crucial information to help make national, regional, or continental scale decisions regarding wetland conservation, flood/disease hazard mapping, or mitigation against the impacts of ENSO.

中文翻译:

热带湿地(TropWet)映射工具:自动检测Google Earth Engine中用于热带湿地的开放和植被水体

对于地表水和被淹没的植被的位置和范围的了解对于一系列应用至关重要,包括洪水风险管理,生物多样性监测,量化温室气体排放以及绘制水传播疾病风险。在这里,我们展示了一个新的工具TropWet,它使所有能力的用户都可以基于Google Earth Engine中光学Landsat卫星图像的简单混合,绘制出草食性地区的湿地地图。结果表明,该工具在整个非洲大陆具有很高的准确度(平均准确度为91%,标准偏差为2.6%,n = 10,800)。TropWet在用于绘制重要湿地范围(如博茨瓦纳奥卡万戈)的现有全球可用地表水数据集方面,显示出了显着改进。TropWet能够提供频率淹没图,作为赞比亚巴罗塞兰地区疟疾蚊子水生生物栖息地范围和持久性的指标。TropWet能够绘制与纳米比亚赞比西河地区可操作的洪水风险绘图产品相当的洪水范围。最终,TropWet能够量化厄尔尼诺/南方涛动(ENSO)事件对整个南部非洲光合植被和湿地范围的影响。这些示例证明了TropWet向决策者提供重要信息的潜力,以帮助他们制定有关湿地保护,洪水/疾病危害图或缓解ENSO影响的国家,区域或大陆规模决策。TropWet能够绘制与纳米比亚赞比西河地区可操作的洪水风险绘图产品相当的洪水范围。最终,TropWet能够量化厄尔尼诺/南方涛动(ENSO)事件对整个南部非洲光合植被和湿地范围的影响。这些示例证明了TropWet向决策者提供重要信息的潜力,以帮助他们制定有关湿地保护,洪水/疾病危害图或减轻ENSO影响的国家,地区或大陆规模决策。TropWet能够绘制与纳米比亚赞比西河地区可操作的洪水风险绘图产品相当的洪水范围。最终,TropWet能够量化厄尔尼诺/南方涛动(ENSO)事件对整个南部非洲光合植被和湿地范围的影响。这些示例证明了TropWet向决策者提供重要信息的潜力,以帮助他们制定有关湿地保护,洪水/疾病危害图或缓解ENSO影响的国家,区域或大陆规模决策。
更新日期:2020-04-07
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