Tide2Topo: A new method for mapping intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images DOI Creative Commons
Chunpeng Chen, Ce Zhang, Bo Tian

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2023, Volume and Issue: 200, P. 55 - 72

Published: May 10, 2023

Intertidal zones serve as a critical transition between land and ocean are periodically inundated by tides. They extremely important to coastal communities it provides diverse habitats buffers against marine hazards. However, the reduced river sediment together with sea level rise reclamation have caused widespread loss of intertidal areas. Reliable, high-resolution, up-to-date topography maps key information for vulnerability assessment restoration. Existing approaches reconstruction involve significant ground surveys, limited spatial coverage, accuracy, efficiency, thus, restricting their potential generalize globally. To address these issues, we propose pixel-based approach construct from dense Sentinel-2 satellite time-series truth named Tide2Topo. Tide2Topo differs conceptually widely used waterline method since considers tidal inundation frequency topographic indicator rather than instantaneous waterlines. Therefore, does not manual selection images at different tide levels. The relationship elevation is calibrated using linear polynomial models based on few transect measurements instead height, preventing errors introduced inaccurate data. proposed was applied validated in UK China over several complicated estuaries bays extensive muddy flats or sandy beaches. results demonstrated that derived compared LiDAR UAV photogrammetric observations has root mean square error ranging 16 38 cm. large were found channel areas where calculation prone uncertainty. Dense ensure finer sampling cycle, thereby only eliminating interpolation but also maintaining accuracy estimations pixel level. robust, portable rapid well suited large-scale reconstruction. Future work could use Sentinel-1 SAR an alternative data source Tide2Topo, realizing seasonal annual monitoring geomorphological changes.

Language: Английский

Rebound in China’s coastal wetlands following conservation and restoration DOI
Xinxin Wang, Xiangming Xiao, Xiao Xu

et al.

Nature Sustainability, Journal Year: 2021, Volume and Issue: 4(12), P. 1076 - 1083

Published: Oct. 28, 2021

Language: Английский

Citations

206
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review DOI Creative Commons
Liping Yang,

Joshua Driscol,

Sarigai Sarigai

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(14), P. 3253 - 3253

Published: July 6, 2022

Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience ecosystems, urban planning). Retrieving, managing, analyzing large amounts RS imagery poses substantial challenges. Google Earth Engine (GEE) provides a scalable, cloud-based, geospatial retrieval processing platform. GEE also access to the vast majority freely available, public, multi-temporal offers free cloud-based computational power for analysis. Artificial intelligence (AI) methods are enabling technology automating interpretation imagery, particularly on object-based domains, so integration AI into represents promising path towards operationalizing automated RS-based monitoring programs. In this article, we provide systematic review relevant literature identify recent research that incorporates GEE. We then discuss some major challenges integrating several priorities future research. developed interactive web application designed allow readers intuitively dynamically publications included review.

Language: Английский

Citations

152
Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland DOI Creative Commons

Xiangren Long,

Hui Lin,

Xuexian An

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 136, P. 108619 - 108619

Published: Feb. 2, 2022

Wetland vegetation has experienced significant loss and degradation over the last few decades. Although volumes of studies involve wetlands, limited attention been paid to long-term changes ecological values inland lake wetlands in China. In this paper, land use/cover data Dongting Lake wetland from 1995 2020 was generated based on Google Earth engine using Stacking algorithm. Subsequently, spatial temporal variation types explored dynamic analysis correlation indices change. The main factors influencing distribution were identified by Geodetector. Finally, degree impact ecosystem service value quantified equivalence factor method. results show that, past 25 years, use had switched with each other more frequently, a total 294.94 km2 area lost, mainly due shrinkage water, reeds sedge. affecting are population density, GDP, elevation sunshine duration, interaction drivers is mostly linearly enhanced no weakening effect. addition, showed trend first decreasing then increasing, ¥87,000.99 million ESV. study can provide basic information for preliminary work planning design, demonstrate importance ecosystems different regions. Based assessment results, it an important basis construction security patterns policy formulation civilization construction.

Language: Английский

Citations

127
Spatiotemporal dynamics of wetlands and their driving factors based on PLS-SEM: A case study in Wuhan DOI Creative Commons
Chao Wang, Le Ma, Yan Zhang

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 806, P. 151310 - 151310

Published: Oct. 29, 2021

Globally, wetlands have been severely damaged due to natural environment and human activities. Understanding the spatiotemporal dynamics of their driving forces is essential for effective protection. This study proposes a research framework explore interaction between activities its impact on wetland changes, by introducing Partial Least Squares Structural Equation Modeling (PLS-SEM) Geographically Weighted Regression (GWR) model, then applying methodology in Wuhan, typical city China. The validity reliability evaluation indicated that PLS-SEM model reasonable. results showed area Wuhan decreased 10.98% 1990-2018 four obvious direct pathways influence were found. Positive soil terrain conditions are conducive maintaining wetlands, while rapid urbanization drastically reduce distribution wetlands. It remarkable climate gradually shifting from positive negative. Furthermore, potential indirect affecting shown enhance negative distribution, impacts weaken soil's impact. provides quantitative determining causes loss; it can also be applied other cities or regions, which more measures protect

Language: Английский

Citations

107
GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020 DOI Creative Commons
Xiao Zhang,

Liangyun Liu,

Tingting Zhao

et al.

Earth system science data, Journal Year: 2023, Volume and Issue: 15(1), P. 265 - 293

Published: Jan. 17, 2023

Abstract. Wetlands, often called the “kidneys of earth”, play an important role in maintaining ecological balance, conserving water resources, replenishing groundwater and controlling soil erosion. Wetland mapping is very challenging because its complicated temporal dynamics large spatial spectral heterogeneity. An accurate global 30 m wetland dataset that can simultaneously cover inland coastal zones lacking. This study proposes a novel method for by combining automatic sample extraction method, existing multi-sourced products, satellite time-series images stratified classification strategy. approach allowed generation first map with fine system (GWL_FCS30), including five sub-categories (permanent water, swamp, marsh, flooded flat saline) three tidal (mangrove, salt marsh flats), which was developed using Google Earth Engine platform. We combined expert knowledge, training refinement rules visual interpretation to generate geographically distributed samples. Second, we integrated Landsat reflectance products Sentinel-1 synthetic aperture radar (SAR) imagery various water-level phenological information capture heterogeneity wetlands. Third, applied strategy local adaptive random forest models produce at each 5∘×5∘geographical tile 2020. Lastly, GWL_FCS30, mosaicked 961 5∘×5∘ regional maps, validated 25 708 validation samples, achieved overall accuracy 86.44 % kappa coefficient 0.822. The cross-comparisons other demonstrated GWL_FCS30 performed better capturing patterns wetlands had significant advantages over diversity sub-categories. statistical analysis showed area reached 6.38 million km2, 6.03 km2 0.35 wetlands, approximately 72.96 were poleward 40∘ N. Therefore, conclude proposed suitable large-area product has potential provide vital support management. 2020 freely available https://doi.org/10.5281/zenodo.7340516 (Liu et al., 2022).

Language: Английский

Citations

85
Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021 DOI
Ming Wang, Dehua Mao, Xiangming Xiao

et al.

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 284, P. 113347 - 113347

Published: Nov. 12, 2022

Language: Английский

Citations

80
Mapping China’s planted forests using high resolution imagery and massive amounts of crowdsourced samples DOI
Kai Cheng, Yanjun Su, Hongcan Guan

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2023, Volume and Issue: 196, P. 356 - 371

Published: Jan. 17, 2023

Language: Английский

Citations

57
Wetland mapping in East Asia by two-stage object-based Random Forest and hierarchical decision tree algorithms on Sentinel-1/2 images DOI
Ming Wang, Dehua Mao,

Yeqiao Wang

et al.

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 297, P. 113793 - 113793

Published: Sept. 4, 2023

Language: Английский

Citations

55
Spatio-temporal distribution of harmful algal blooms and their correlations with marine hydrological elements in offshore areas, China DOI Creative Commons
Chao Chen, Jintao Liang, Gang Yang

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 238, P. 106554 - 106554

Published: March 10, 2023

Language: Английский

Citations

53
Coastline extraction using remote sensing: a review DOI Creative Commons
Weiwei Sun, Chao Chen, Weiwei Liu

et al.

GIScience & Remote Sensing, Journal Year: 2023, Volume and Issue: 60(1)

Published: Aug. 10, 2023

Coastlines are important basic geographic elements and mapping their spatial attribute changes can help monitor, model manage coastal zones. Traditional studies focused on the accuracy of extraction methods evolution characteristics coastlines. Thanks to advances in remote sensing for earth observations, recent coastline reveal detailed ocean-land interaction changes. In this review, we aim identify key milestones using by associating emergence major research topics with occurrence multiple application fields, data sources, algorithms. Specifically, define coastlines that be applied different summarize products, analyze principles, advantages disadvantages methods. On basis, discussed development direction challenges involved. This study provides practical insights incorporated into future approaches technologies.

Language: Английский

Citations

50