Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) DOI Creative Commons
Han Liu,

Tongkui Liao,

Yu Wang

et al.

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

Published: Nov. 27, 2023

Timely and accurate wetland information is necessary for resource management. Recent advances in machine learning remote sensing have facilitated cost-effective monitoring of wetlands. However, reliable methods fine-grained rapid mapping are still lacking. To address the issue, a sample set with 20 categories China was collected based on sampling strategy that combines automatic generation visual interpretation. Simultaneously, novel multi-stage method classification proposed, which integrates pixel-based object-based strategies using ensemble algorithms multi-source data. First, algorithm implemented to classify five rough six non-wetland categories. Second, an approach designed separate water cover results into eight detailed Third, merged were refined knowledge-based post-processing procedures identify 14 Results Pixel Information Expert Engine (PIE-Engine) cloud platform proved effectiveness proposed method. The overall accuracy, kappa, weighted F1 reached 87.39%, 82.80%, 86.02%, respectively. adopted yielded better performance than classifiers such as CatBoost, random forest, XGBoost. incorporation spectral, texture, shape, topographic, geographic features from data contributed differentiating According relative contribution, spectral indexes (NDVI NDWI), texture (sum average contrast), topographic (slope elevation) identified important leading predictors first-stage classification. Shape (shape index compactness) auxiliary (geographic location) crucial second-stage Compared other products, our 10-m national reserves rich detail fine Overall, constructed developed show promise laying foundation large-scale mapping. derived maps can provide support protection restoration.

Language: Английский

Spatio-Temporal Evolution Monitoring and Analysis of Tidal Flats in Beibu Gulf From 1987 to 2021 Using Multisource Remote Sensing DOI Creative Commons
Ertao Gao, Guoqing Zhou, Shuxian Li

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 6099 - 6114

Published: Jan. 1, 2024

Tidal flats are an important part of coastal wetland systems and play irreplaceable role in maintaining the health global ecosystems, resisting natural disasters, sequestering blue carbon. For zone around Beibu Gulf, where tidal densely distributed, spatiotemporal characteristics evolution its key driving factors remain unclear. This article took Gulf as study area, constructed integrated extraction algorithm "maximum spectral index composite (MSIC) + Otsu (OTSU) DEM correction" based on cloud computing platform Google Earth Engine to realize a large-scope high-accuracy automatic flats. The results discovered that: (1) method proposed this has high accuracy, with overall accuracy confusion matrix reaching 93.9%, Kappa coefficient 0.82. user mapping both greater than 85%. (2) In 35 years, total area decreased by 683.9 km2, reduction 29%, average annual rate change was -19.5 km2/a. (3) fragmentation state intensified time, forces were mainly rise sea level, decrease amount sediment river entering sea, expansion mangrove trees. Human-driven economic development offshore aquaculture.

Language: Английский

Citations

13
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review DOI Creative Commons
Rosa Maria Cavalli

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

Citations

11
The past and future of ecosystem restoration in China DOI
Binbin V. Li, Shuyao Wu, Fangyuan Hua

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(9), P. R379 - R387

Published: May 1, 2024

Language: Английский

Citations

9
Tracking annual changes in the distribution and composition of saltmarsh vegetation on the Jiangsu coast of China using Landsat time series–based phenological parameters DOI

Chao Sun,

Jialin Li, Yongchao Liu

et al.

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 284, P. 113370 - 113370

Published: Nov. 25, 2022

Language: Английский

Citations

36
A phenology-based vegetation index classification (PVC) algorithm for coastal salt marshes using Landsat 8 images DOI Creative Commons

Jing Zeng,

Yonghua Sun,

Peirun Cao

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 110, P. 102776 - 102776

Published: May 10, 2022

Coastal salt marshes, as a globally significant intertidal ecosystem, are highly productive but extremely fragile and unstable. Mapping coastal marshes accurately is the basis of assessing global climate change, biological invasion, erosion. Using Landsat 8 images, this paper integrated advantages pixel- phenology-based algorithms vegetation indices in classification. An enhanced index classification (PVC) algorithm proposed to obtain spatial distribution community composition Bohai Sea China quickly. The results showed that (1) redness (CRVI) can be used extract Suaeda spp. effectively, (PVIs) dataset alleviate variability phenology marshes; (2) crucial phenological periods for identifying May, October, November, optimal PVIs consistent with characteristics (3) during year 2018–2019, overall accuracy (OA) PVC Yancheng coast Jiangsu Province reached 80.49 % 90.8 respectively. A total 14,763.39 ha were found area Sea, Shandong had most abundant types largest area; (4) model based on stable scalable 2016–2017 2020–2021, OA 89.19% 86.67% These demonstrate value classification, study provide referable semi-automatic method other areas.

Language: Английский

Citations

32
ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine DOI Creative Commons
S. Mohammad Mirmazloumi, Mohammad Kakooei, Farzane Mohseni

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(13), P. 3041 - 3041

Published: June 24, 2022

Land Use/Land Cover (LULC) maps can be effectively produced by cost-effective and frequent satellite observations. Powerful cloud computing platforms are emerging as a growing trend in the high utilization of freely accessible remotely sensed data for LULC mapping over large-scale regions using big geodata. This study proposes workflow to generate 10 m map Europe with nine classes, ELULC-10, European Sentinel-1/-2 Landsat-8 images, well LUCAS reference samples. More than 200 K 300 situ surveys respectively, were employed inputs Google Earth Engine (GEE) platform perform classification an object-based segmentation algorithm Artificial Neural Network (ANN). A novel ANN-based preparation was also presented remove noisy samples from dataset. Additionally, improved several rule-based post-processing steps. The overall accuracy kappa coefficient 2021 ELULC-10 95.38% 0.94, respectively. detailed report accuracies provided, demonstrating accurate different such Woodland Cropland. Furthermore, post processing class identifications when compared current studies. could supply seasonal, yearly, change considering proposed integration complex machine learning algorithms large survey data.

Language: Английский

Citations

32
Effects of Spartina invasion on the soil organic carbon content in salt marsh and mangrove ecosystems in China DOI
Xiao Xu, Shujuan Wei, Hongyang Chen

et al.

Journal of Applied Ecology, Journal Year: 2022, Volume and Issue: 59(7), P. 1937 - 1946

Published: May 11, 2022

Abstract Coastal wetlands are large reservoirs of soil carbon (C) and have been invaded globally by the exotic species Spartina alterniflora . However, effects these invasions on C content remain unclear. We performed a meta‐analysis 2479 organic (SOC) observations collected from 91 field studies conducted in coastal China, world's largest introduced range for S. had no significant effect SOC vegetated native China. increased top 30 cm salt marshes after invading only one nine marsh types, which was dominated dwarf succulent species, Suaeda salsa northern subtropics decreased 60 mangroves Kandelia obovata mixed communities invasion southern subtropics. did not significantly affect other or mangrove ecosystems. Moreover, ‐invaded ecosystems decadal scale then decreased, rather than increasing monotonically. Synthesis applications Our findings reveal that is similar to lower most As bulk density often reduced invasions, storage capabilities might be substantially invasions. gradually long‐term (>20 years). Therefore, displacement may considered natural climate solution increase sink Future efforts required control preferentially where do content, conserve restore wetlands, core areas World Natural Heritage site serving as China's Migratory Bird Sanctuaries severely threatened ecological integrity sinks mitigate change.

Language: Английский

Citations

31
Achievements, challenges, and recommendations for waterbird conservation in China's coastal wetlands DOI Creative Commons
Zhijun Ma, Chi‐Yeung Choi,

Xiaojing Gan

et al.

Avian Research, Journal Year: 2023, Volume and Issue: 14, P. 100123 - 100123

Published: Jan. 1, 2023

China's coastal wetlands provide breeding, migration stopover, and wintering habitats for about 230 waterbird species, which is more than a quarter of all waterbirds in the world. Large-scale high intensity human activities have resulted serious loss degradation over past half century, causing population declines many waterbirds. Through literature review expert surveys, this article reviews conservation measures taken recent decades to conserve provides recommendations future action from three aspects: policy administration, habitat management, multiparty participation. Over decades, legislation, regulations plans at national level site-specific interventions been implemented, with notable improvement effectiveness making multi-stakeholder Accordingly, some threats mitigated key sites designated as strictly protected nature reserves. However, critical issues still remain, mostly related such wetland restoration, control invasive Spartina alterniflora, environmental pollution, artificial quality. We highlight that protecting natural tidal improving quality are waterbirds, especially those highly dependent on intertidal wetlands. China has demonstrated strong commitment ecological restoration future, terms both funding policies biodiversity ecosystems. It important supported continuously by science- evidence-based decisions actions.

Language: Английский

Citations

20
Remote Sensing and Invasive Plants in Coastal Ecosystems: What We Know So Far and Future Prospects DOI Creative Commons
Priscila Villalobos Perna, Mirko Di Febbraro, María Laura Carranza

et al.

Land, Journal Year: 2023, Volume and Issue: 12(2), P. 341 - 341

Published: Jan. 27, 2023

Coastal environments are highly threatened by invasive alien plants (IAP), and Remote Sensing (RS) may offer a sound support for IAP detection mapping. There is still need an overview of the progress extent RS applications on invaded coasts that can help development better procedures to management. We conducted systematic literature review 68 research papers implementing, recommending, or discussing tools mapping in coastal environments, published from 2000 2021. According this review, most was done China USA, with Sporobolus (17.3%) being studied genus. The number studies increased at accelerated rate 2015 onwards, coinciding transition invasion modeling. used platforms 2000s were aircraft, satellites 2005 unmanned aerial vehicles after 2014. Frequentist inference adopted classification approach 2000s, as machine learning 2009. vary ecosystem types across countries. has huge potential further improve monitoring. extension all world requires advanced bring together current future Earth observation data.

Language: Английский

Citations

18
Blue carbon development in China: realistic foundation, internal demands, and the construction of blue carbon market trading mode DOI Creative Commons
Ping Li, Dahai Liu, Chao Liu

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 4, 2024

Promoting the inclusion of blue carbon in market trading is crucial for recognizing its value and protecting marine ecological environment. However, China currently does not have an internationally influential platform, which hampers transmission supply demand prevents realization value. In this study, we analyze feasibility necessity establishing a mode China. The introduction futures market’s allows use pricing methods multiple financial instruments to address challenges income cost mismatch project development. paper also discusses key strategies development China’s market, including creation methodology, improvement preservation appreciation mechanisms, establishment unified platform. These aim provide intellectual support decision-making reference construction market.

Language: Английский

Citations

7