Multitemporal optical and radar metrics for wetland mapping at national level in Albania

Muro, Javier; Varea, Ana; Strauch, Adrian; Guelmami, Anis; Fitoka, Eleni; Thonfeld, Frank; Diekkrüger, Bernd; Waske, Björn

doi:10.1016/j.heliyon.2020.e04496

Cited by 18 publications

(15 citation statements)

References 48 publications

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“…Although there are already several remote sensing‐based studies investigating the landscape and ecosystems of Kilombero (Muro et al., 2018; Riggio & Caro, 2017; Thonfeld et al., 2020a, 2020b), ours is the first one that provides habitat and connectivity maps at a thematic and spatial resolution suitable to predict elephant corridors. The use of multitemporal metrics improves the classification capacities since it captures the different stages of dynamic habitats (Muro et al., 2020; Oeser et al., 2020). Other studies have used maxima and median metrics from optical data (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have explored the combination of multispectral and radar data with good results (Carrasco et al., 2019; Clerici et al., 2017; Mercier et al., 2019; Muro et al., 2020). The combination of both types of sensors has permitted us to obtain a good classification accuracy for such a heterogeneous landscape.…”

Section: Discussionmentioning

confidence: 99%

“…Other studies have used maxima and median metrics from optical data (e.g. Muro et al., 2020). However, the dense cloud cover of Kilombero created too much noise when computing maxima and minima metrics.…”

Section: Discussionmentioning

confidence: 99%

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Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

Cisneros‐Araujo

Ramirez‐Lopez²,

Juffe‐Bignoli

et al. 2021

Remote Sens Ecol Conserv

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Land conversion is causing habitat loss and fragmentation worldwide, particularly in Africa, where the proliferation of agricultural development corridors may threaten vital areas for ecological connectivity and wildlife survival. To conserve connectivity, careful landscape planning is necessary, which strongly relies on remotely sensed land cover maps. Here, we present a remote sensing-based framework that efficiently identifies priority locations for connectivity conservation. We applied the framework in the Kilombero catchment and development cluster of the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania, where new agricultural development projects could act as barriers for connectivity. Using satellite imagery from Sentinel-1 and 2, we mapped the mixture of mountain and lowland land covers and habitats with an overall accuracy of 75%. Then, we assessed ecological connectivity to predict African elephant corridors and prioritize them in two ways. First, we identified elephant corridors that contribute the most to current landscape connectivity, and second, we identified those whose restoration would significantly enhance landscape functionality and improve the current connectivity level. We mapped 214 potential elephant corridors, identified 43 of them as priority for conservation, and 43 as target for restoration. Our model predicted four already known corridor areas in and around the Kilombero valley floodplain, and other important corridors not yet identified by previous studies in the south of the basin. Priority elephant corridors inside the floodplain showed narrow widths and low permeability, indicating low functionality in the connectivity network. Nevertheless, the abundance of priority corridors for restoration suggests that connectivity could be recovered if the recommended measures are applied during SAGCOT planning and implementation process. Our findings demonstrate the possibilities of combining multispectral and radar data for guiding biodiversity management in development corridors and for assessing ecological connectivity worldwide.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

Cisneros‐Araujo

Ramirez‐Lopez²,

Juffe‐Bignoli

et al. 2021

Remote Sens Ecol Conserv

Self Cite

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“…ellipsoidal model WGS-84 and high resolution. Also, double polarometric images (VV-VH) were used, which allows the calculation of polarization of terrain (Muro et al, 2019(Muro et al, , 2020Alarcón, 2021).…”

Section: Normalized Difference Water Index (Ndwi)mentioning

confidence: 99%

Water area and volume calculation of two reservoirs in Central Cuba using Remote Sensing Methods. A new perspective

et al. 2022

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The availability, quality and management of water constitute essential activities of national, regional and local governments and authorities. Historic annual rain (between 1961 and 2020) in Chambas River Basin (Central Cuba) was evaluated. Two remote sensing methods (Normalized Difference Water Index and RADAR images) were used to calculate the variation of water area and volumes of two reservoirs (Chambas II and Cañada Blanca) of Ciego de Ávila Province at end of wet and dry seasons from 2014-2021. The results showed that mean annual rain was 1330.9 ± 287.4 mm and it did not showed any significant tendency at evaluated period. For both reservoirs, mean water areas measured with two methods were 19 % and 8 % smaller than the mean water area reported by authorities for the same period. The static water storage capacity (water volume) of both reservoirs varied (as area) between seasons with the greatest volume in both reservoirs recorded in October of 2017 (30.5 million of m3 in Chambas II and 45.1 million of m3 in Cañada Blanca reservoir). Large deviations of water area and volumes occurred during the dry season (lower values) and the wet season of 2017 (influenced by rain associated to of Hurricane Irma) and wet season of 2020 (influenced by rain associated to tropical storm Laura). Calculated area – volume models with significant statistical correlation are another useful tool that could be used to improve water management in terms of accuracy and to increase reliable results in cases where gauge measurements are scarce or not available.

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“…Many studies have also used Sentinel-1 radar data, or a fusion between the optical (Sentinel-2) and radar (Sentinel-1) images to overcome the omission errors associated with the optical data (e.g., Bioresita et al, 2019;Manakos et al, 2020;Muro et al, 2020).…”

Section: Shortcomings Of the Sentinel-2 Data In Mapping And Monitorin...mentioning

confidence: 99%

Deriving the maximum extent and hydroperiod of open water from Sentinel-2 imagery for global sustainability and biodiversity reporting for wetlands

Deventer

Linstrom²,

Durand

et al. 2022

WSA

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The monitoring of wetland extent is a global imperative, considering loss of ecosystem services and conservation value. To date, the understanding of the variation in the extent of lacustrine (inundated) wetlands has been limited, based on intermittently available, coarse-scale imagery. The aim of this study was to assess the capabilities of the freely available Sentinel-2 sensor in monitoring inundated wetlands. In particular, to demonstrate the ability to determine the maximum extent of inundation for reporting on the Sustainable Development Goal (SDG) 6.6 (Clean Water and Sanitation) and SDG 15.1 (i.e., halting biodiversity loss), the functional diversity and the hydrological regime of depressions were explored in the Mpumalanga Lake District (MLD) of South Africa. Using the monthly inundation data derived from Sentinel-2 images between January 2016 and May 2018, the results showed that the maximum extent of open water can be successfully reported for SDG 6.6. Lacustrine wetlands constituted about 47 of the 416 (but 66% of the total areal extent of) depressions in the MLD, while others were predominantly palustrine (vegetated). The functional diversity varied from predominantly (61% of the extent of) inundated depressions to seasonally (3%) inundated depressions. The Sentinel-2 sensor was able to detect intra- and inter-annual variation of the extent of inundation, making it suitable to monitor these wetlands for global and climate change impacts.

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Multitemporal optical and radar metrics for wetland mapping at national level in Albania

Cited by 18 publications

References 48 publications

Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

Water area and volume calculation of two reservoirs in Central Cuba using Remote Sensing Methods. A new perspective

Deriving the maximum extent and hydroperiod of open water from Sentinel-2 imagery for global sustainability and biodiversity reporting for wetlands

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