Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive

Abstract

Asia is the major contributor to global aquaculture production in quantity, accounting for almost 90%. These practices lead to extensive land-use and land-cover changes in coastal areas, and thus harm valuable and sensitive coastal ecosystems. Remote sensing and GIS technologies contribute to the mapping and monitoring of changes in aquaculture, providing essential information for coastal management applications. This study aims to investigate aquaculture expansion and spatio-temporal dynamics in two Chinese river deltas over three decades: the Yellow River Delta (YRD) and the Pearl River Delta (PRD). Long-term patterns of aquaculture change are extracted based on combining a reference layer on existing aquaculture ponds for 2015 derived from Sentinel-1 data with annual information on water bodies extracted from the long-term Landsat archive. Furthermore, the suitability of the proposed approach to be applied on a global scale is tested based on exploiting the Global Surface Water (GSW) dataset. We found enormous increases in aquaculture area for the investigated target deltas: an 18.6-fold increase for the YRD (1984–2016), and a 4.1-fold increase for the PRD (1990–2016). Furthermore, we detect hotspots of aquaculture expansion based on linear regression analyses for the deltas, indicating that hotspots are located in coastal regions for the YRD and along the Pearl River in the PRD. A comparison with high-resolution Google Earth data demonstrates that the proposed approach can detect spatio-temporal changes of aquaculture at an overall accuracy of 89%. The presented approach has the potential to be applied to larger spatial scales covering a time period of more than three decades. This is crucial to define appropriate management strategies to reduce the environmental impacts of aquaculture expansion, which are expected to increase in the future.

RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images

“…Remotely sensed imagery has been used as an effective means for global monitoring of aquaculture ponds in coastal areas [5][6][7] and nearby inland lakes [8]. An object-based image analysis (OBIA) method was used on Landsat TM images to extract aquaculture ponds in coastal areas of south-eastern China [9].…”

Pen Culture Detection Using Filter Tensor Analysis with Multi-Temporal Landsat Imagery

“…Aquaculture is defined as aquatic living organism farmed and harvested on aqua farms, which is mainly meant for human food consumption [1,2]. Aquaculture is a sector of food production systems with a high growth rate and plays a very important role in China's fisheries production [3,4].…”

“…In China, there are more than 2600 natural lakes with an area larger than 1 km 2 , with a total area of over 81,414.6 km 2 [5]. The plains and deltas located in the middle and lower reaches of the Yangtze River in eastern China hold numerous lakes where aquaculture is carried out widely [6].…”

Pemetaan Tambak Udang Vaname Di Pesisir Kepulauan Bangka Belitung Menggunakan Interpretasi Visual Citra Sentinel 2 Msi

“…Maraknya persebaran tambak udang tentunya menimbulkan dampak bagi kawasan pesisir yang berbatasan langsung dengan laut dan hal ini patut diperhatikan secara intensif. Kegiatan ini memberi peran yang besar dalam menciptakan lapangan pekerjaan bagi masyarakat dan membangun perekonomian pesisir, namun meskipun sukses secara ekonomi juga menimbulkan permasalahan lingkungan seperti perubahan tutupan lahan dan timbulnya degaradasi lahan pesisir (Dorber et al, 2020), hilangnya keanekaragaman hayati (Ottinger et al, 2017) belum lagi pembuangan limbah tambak yang mengarah ke laut sehingga menyebabkan pencemaran air laut (Stiller et al, 2019;Ottinger et al, 2018).…”

“…Citra multitemporal dapat menunjukkan dan memprediksi perubahan spasial yang terjadi dalam periode waktu tertentu (Denaro et al, 2019). Kajian spasial dengan memanfaatkan citra penginderaan jauh untuk pemantauan kawasan pesisir termasuk perikanan budidaya dan ekosistemnya sudah banyak dilakukan oleh peneliti (Azahra et al, 2019;Nagamani & Suresh, 2019;Stiller et al, 2019;Gusmawati et al, 2018;Amri & Arifin, 2018;Ahmad et al, 2016).…”