Analysis of measurement differences and causes of C, N, and P in river flooding areas—taking the Hailar River in China as an example DOI Creative Commons

Xi Dong,

Chunming Hu

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17745 - e17745

Published: July 12, 2024

The Hailar River is located in the Inner Mongolia Autonomous Region of Northeast China. It a connecting hub agricultural pastoral transitional zone on Hulunbuir grassland, with abundant water and biodiversity resources, important ecological conservation significance. This study takes as research area to evaluate impact main influencing factors soil C, N, P measurement from upstream downstream concave convex riverbanks River. results show that: (1) average particle size shows differences downstream: Section 1 31.6–192.3 µm, 2 21–213 3 21–288 4 42–206 µm; pH value generally low, while increases. reason for this that bank has sufficient water, which plays role inhibiting salt content; (2) nutrient content higher region than region, difference between regions relatively small bank; (3) banks mostly positively correlated moisture content, are negatively size. Research shown different cross-sections downstream, well uneven riverbanks, significantly affect physicochemical properties measurements. Studying riparian zones under typical can provide new ideas regional protection even global cycling.

Language: Английский

Long-Term Wetland Monitoring Using the Landsat Archive: A Review DOI Creative Commons

Quentin Demarquet,

Sébastien Rapinel, Simon Dufour

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 820 - 820

Published: Jan. 31, 2023

Wetlands, which provide multiple functions and ecosystem services, have decreased been degraded worldwide for several decades due to human activities climate change. Managers scientists need tools characterize monitor wetland areas, structure, in the long term at regional global scales assess effects of planning policies on their conservation status. The Landsat earth observation program has collected satellite images since 1972, makes it longest record with respect remote sensing. In this review, we describe how data used long-term (≥20 years) monitoring. A total 351 articles were analyzed based 5 topics 22 attributes that address monitoring analysis issues. Results showed (1) open access archive successfully highlights changes worldwide; (2) recent progress artificial intelligence (AI) machine learning opens new prospects analyzing archive; (3) most unexplored wetlands can be investigated using (4) cloud-computing enable dense times-series processed over large areas. We recommend future studies focus AI methods along cloud computing. This review did not include reports do mention use imagery.

Language: Английский

Citations

24
A systematic review on remote sensing of wetland environments DOI
Oshneck Mupepi, Thomas Marambanyika, Mark Matsa

et al.

Transactions of the Royal Society of South Africa, Journal Year: 2024, Volume and Issue: 79(1), P. 67 - 85

Published: Jan. 2, 2024

This review provides an overview of the progress made in remote sensing application for soil moisture, vegetation and inundation mapping wetland environments. The main objective paper was to assess link between moisture variations characteristics studies. To achieve this objective, relevant literature gathered from established search engines, e.g. Science Direct Web Science, along with specific strategies key phrases. Three hundred ninety-three journal articles on published 1980 2023 were collected subjected a comprehensive analysis. findings indicate that has been increasing, three work 1980s 22 1990s, 88 2001 2010, 278 2011 2023. Results showed there improvement Africa 2015 Despite wide map these aspects, very few studies (2.1%) have focused establishing relationship them. analysis indicated launch new Sentinel-1 radar Sentinel-2 optical sensors addition Landsat series, variety analytical methods, provided great opportunity derivation data which can be used establish moisture–vegetation nexus.

Language: Английский

Citations

3
NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland DOI Creative Commons

Yating Zhao,

Chunming Hu,

Xi Dong

et al.

Land, Journal Year: 2023, Volume and Issue: 12(3), P. 713 - 713

Published: March 20, 2023

The semi-arid region of northern China is highly sensitive to environmental changes, especially the Hulunbuir Grassland, which has an essential ecological status and a fragile environment. This study focused on NDVI characteristics three different ecosystems their dominant influencing factors. It proposed method show immediate effects factors statistical level. results showed that: (1) floodplain wetland > meadow sand ribbon. There were obvious differences among ecosystems, spatial distribution was consistent with altitude. (2) main explanatory phenological period, humidity, temperature, accumulated precipitation, runoff, evaporation, accounted for 68.8% total explanation. (3) Phenological precipitation positively correlated NDVI. Temperature evaporation had positive effect within certain range. revealed in enriched theory factors, provided scientific basis future research regional conservation.

Language: Английский

Citations

7
Remote Sensing Monitoring and Evaluation of Vegetation Changes in Hulun Buir Grassland, Inner Mongolia Autonomous Region, China DOI Open Access

Xi Dong,

Chunming Hu

Forests, Journal Year: 2022, Volume and Issue: 13(12), P. 2186 - 2186

Published: Dec. 19, 2022

Constantly increasing vegetation changes pose serious challenges to the sustainable use of global ecosystems. Thus, facing increasingly climate and ecological environment problems improving coverage is crucial development region. Along these lines, in this work, a monitoring model cover change was proposed developed by using Landsat TM (1989, 1999, 2011) OLI-TIRS (2021) data. More specifically, it used assess change. Based on model, core area Hulun Buir Grassland systematically analyzed., From acquired results, existence spatial differences study were demonstrated. The total 758.95 km2, from low high 456.41 accounting for 60.14% area. 302.57 39.86% area, whereas without 1963.92 72.13% overall improving. Vegetation models can also be reveal describe large-scale landscape obtain clear results through easy-to-obtain data; our work suggests that process pursuing regional economic accelerating urbanization, industrialization, agricultural modernization, human beings should assume more responsibilities pursue natural environment. are great importance further potential driving mechanism provide theoretical guidance relevant managers formulate restoration measures.

Language: Английский

Citations

8
Novel Threshold Self-Regulating Water Extraction Method DOI Creative Commons

Xi Dong,

Chunming Hu,

Yating Zhao

et al.

Journal of Hydrologic Engineering, Journal Year: 2023, Volume and Issue: 28(8)

Published: May 19, 2023

Water resources are crucial for human activities and sustainable socioeconomic development. Understanding surface water information can play a key role in resource management, which affects the global cycle ecological environments. Considering Hailar River body as an example, this study proposes new threshold self-learning extraction method (TSLWEM) based on modified normalized difference index (MNDWI) data. The optimal thresholds determined by TSLWEM algorithm four test images were −0.0030, 0, 0.1990, −0.0800. effectively identified target with recognition accuracies of 98.08%, 99.93%, 93.39%, 93.20% images. Moreover, it accurately identify small tributaries, such lakes rivers. is suitable Landsat 8 Operational Land Imager (OLI) data, monitor map complex temperate semiarid regions while improving accuracy identification. study's findings provide technical support protection well their rational utilization monitoring.

Language: Английский

Citations

3
Analysis of measurement differences and causes of C, N, and P in river flooding areas—taking the Hailar River in China as an example DOI Creative Commons

Xi Dong,

Chunming Hu

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17745 - e17745

Published: July 12, 2024

The Hailar River is located in the Inner Mongolia Autonomous Region of Northeast China. It a connecting hub agricultural pastoral transitional zone on Hulunbuir grassland, with abundant water and biodiversity resources, important ecological conservation significance. This study takes as research area to evaluate impact main influencing factors soil C, N, P measurement from upstream downstream concave convex riverbanks River. results show that: (1) average particle size shows differences downstream: Section 1 31.6–192.3 µm, 2 21–213 3 21–288 4 42–206 µm; pH value generally low, while increases. reason for this that bank has sufficient water, which plays role inhibiting salt content; (2) nutrient content higher region than region, difference between regions relatively small bank; (3) banks mostly positively correlated moisture content, are negatively size. Research shown different cross-sections downstream, well uneven riverbanks, significantly affect physicochemical properties measurements. Studying riparian zones under typical can provide new ideas regional protection even global cycling.

Language: Английский

Citations

0