On the use of remote sensing to map the proliferation of aquaculture ponds and to investigate their effect on local climate, perspectives from the Claise watershed, France

Sayah, Mario J. Al; Nedjaï, Rachid; Abdallah, Chadi; Khouri, Michel

doi:10.1007/s10661-020-08250-0

Cited by 8 publications

(6 citation statements)

References 37 publications

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“…For this purpose, they are primarily derived from existing methods of dike-pond extraction. NDWI is the most popular rule for pond extraction [3,34,48], and for this, methods A, C, and D all contain a similar NDWI rule. NIR rule also appears in existing research, but their functions in the dike-pond extraction are not the same [49,50].…”

Section: Discussionmentioning

confidence: 99%

“…When all the values in the GLCM are equal or reach maximum randomness, the GLCM entropy is high. We create three methods with reference to existing studies of pond extraction [3,20,[31][32][33][34]. Method A uses an NDWI rule to extract water bodies, including dike-ponds, then uses shape rules (the shape index is the standardized ratio of the perimeter to the area of the object, rectangular fitting compares the area of the object to the area of the oriented bounding box enclosing the object) to exclude rivers, then NIR and GLCM rules to exclude lakes and other water bodies (Figure 3a).…”

Section: Rule-based Methodsmentioning

confidence: 99%

“…After an image is segmented into groups of neighboring homogeneous pixels (object) [16,23,[28][29][30], a series of spectral, textural, and spatial rules are applied to identify dike-pond objects. Previous studies mainly employed rules of near-infrared (NIR) [31,32] and normalized difference water index (NDWI) [20,21,33,34]. Since these classification rules can be flexibly set and combined, in recent years, some studies have used this method to extract aquaculture ponds with Google Earth Engine expeditiously [3].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Zhou

et al. 2022

Fishes

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Dike-ponds in fisheries often present multiple pond conditions such as pure, suspended sediment, water bloom, semidry conditions, etc. However, the impact of these conditions on the performance of extracting dike-pond from remote sensing images has not been studied. To solve this problem, we explore the existence of such impacts by comparing the performance of four rule-based methods in two groups of test regions. The first group has few multiple pond conditions, while the second has more. The results show that various measure values deteriorate as the proportion of multiple pond conditions in the regions increases. All four methods performed worse in the second group than the first, where the overall accuracy decreased by 8.80%, misclassification error increased by 3.69%, omission error raised by 10.53%, and correct quantity rate dropped by 8.23%, respectively. The extraction method that ingested multiple pond conditions performed indistinguishably from the other methods in the first group. However, it outperformed the other methods in the second group, with a 4.22% improvement in overall accuracy, a 10.25% decrease in misclassification error, and a 19.03% increase in the correct quantity rate. These findings suggest that multiple pond conditions can negatively impact the extraction performance and should be considered in dike-pond applications that require a precise pond size, number, and shape.

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Section: Discussionmentioning

confidence: 99%

Section: Rule-based Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Zhou

et al. 2022

Fishes

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“…Ponds and lakes cover approximately one-third of the continental water, thus making them important carbon sequestration sites (Manoj & Padhy, 2015). Organic carbon burial in the form of sediments is more in small water bodies than in large ones (Al Sayah et al, 2020). For example, due to the infinite number of ponds on earth, they sequester more biological carbon in a year than any ocean.…”

Section: Role In Carbon Sequestrationmentioning

confidence: 99%

Current scenario, services, concerns, and restoration perspectives of ponds in India

Rajput

Kumari

Rajput

et al. 2023

Sains Tanah J. Soil Sci. Agroclimatology

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<p>Ponds are self-sustaining and self-regulating ecosystems that are a vital part of the hydrological cycle and play a variety of roles in the biosphere. Ponds are diverse, extremely dynamic, and highly productive as they offer various services like harbor biodiversity, tool for combating water scarcity, have roles in pollution mitigation and carbon sequestration. Ponds also offer sustainable solutions to support climate change amelioration and aquatic resource management. However, ponds are the most neglected aquatic ecosystems, despite their huge ecological functions. Thus, ponds are debasing at an alarming rate as a result of increased anthropogenic activities and anthropogenically driven changes in natural processes, wreaking havoc on ecological health and water quality. In this context, the major threats to ponds include the dumping of solid waste, increased urbanization, pollution, encroachment and climate change which have resulted in the deterioration of ponds over the years. Sustainable management and restoration of ponds are crucial as this ecosystem offers a wide array of ecological functions. As a result, this research aims to assess the current state of ponds in India in terms of monitoring, ecological services provided, and the various threats to which they are subjected. Further, the discussions on management and perspective restoration strategies of this substantial ecosystem are also included. Thereby, this study suggests better conservation strategies for restoration, reclamation, and sustainable utilization of ponds.</p>

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“…In general, remote sensing of shallow water bodies is challenging due to nonlinearities introduced by intimate mixing, variations in bottom reflectance, and complexities of sediment and biota in the water column [20,21]. Recently, [22] mapped ponds in France from Landsat imagery using the Normalized Difference Water Index (NDWI), [23] used a decision tree approach to map multi-decade aquaculture expansion across coastal China, and [24] used an object-oriented approach. Synthetic Aperture Radar (SAR) imagery can also be used to map aquaculture on the basis of the frequently flat (at macroscale) pond surfaces-for instance, as applied to the Mekong and Pearl River deltas by [25].…”

Section: Introductionmentioning

confidence: 99%

Land Cover Dynamics on the Lower Ganges–Brahmaputra Delta: Agriculture–Aquaculture Transitions, 1972–2017

Sousa

Small

2021

Remote Sensing

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Aquaculture in tropical and subtropical developing countries has expanded in recent years. This practice is controversial due to its potential for serious economic, food security, and environmental impacts—especially for intensive operations in and near mangrove ecosystems, where many shrimp species spawn. While considerable effort has been directed toward understanding aquaculture impacts, maps of spatial extent and multi-decade spatiotemporal dynamics remain sparse. This is in part because aquaculture ponds (ghers) can be challenging to distinguish from other shallow water targets on the basis of water-leaving radiance alone. Here, we focus on the Lower Ganges–Brahmaputra Delta (GBD), one of the most expansive areas of recent aquaculture growth on Earth and adjacent to the Sundarbans mangrove forest, a biodiversity hotspot. We use a combination of MODIS 16-day EVI composites and 45 years (1972–2017) of Landsat observations to characterize dominant spatiotemporal patterns in the vegetation phenology of the area, identify consistent seasonal optical differences between flooded ghers and other land uses, and quantify the multi-decade expansion of standing water bodies. Considerable non-uniqueness exists in the spectral signature of ghers on the GBD, propagating into uncertainty in estimates of spatial extent. We implement three progressive decision boundaries to explicitly quantify this uncertainty and provide liberal, moderate, and conservative estimates of flooded gher extent on three different spatial scales. Using multiple extents and multiple thresholds, we quantify the size distribution of contiguous regions of flooded gher extent at ten-year intervals. The moderate threshold shows standing water area within Bangladeshi polders to have expanded from less than 300 km2 in 1990 to over 1400 km2 in 2015. At all three scales investigated, the size distribution of standing water bodies is increasingly dominated by larger, more interconnected networks of flooded areas associated with aquaculture. Much of this expansion has occurred in immediate proximity to the Bangladeshi Sundarbans.

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On the use of remote sensing to map the proliferation of aquaculture ponds and to investigate their effect on local climate, perspectives from the Claise watershed, France

Cited by 8 publications

References 37 publications

The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Current scenario, services, concerns, and restoration perspectives of ponds in India

Land Cover Dynamics on the Lower Ganges–Brahmaputra Delta: Agriculture–Aquaculture Transitions, 1972–2017

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