Application of Remote Sensing to Monitor Ecosystem Carbon Source and Sink in China

2014 ◽  
Vol 1010-1012 ◽  
pp. 1254-1257
Author(s):  
Jing Wang ◽  
Run He Shi ◽  
Lu Zhang
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Carbon Sink ◽  
National Development ◽  
Terrestrial Ecosystem ◽  
Developed Countries ◽  
Related Data ◽  
Ecosystem Carbon ◽  
Sensing Technology ◽  
Global Carbon

Kyoto Protocol states that developed countries have the responsibility to reduce the amount of greenhouse gas emissions. It, also, suggests that developed countries take measures to enhance carbon sink. Therefore, every country pays more attention on the research of global carbon cycle. China, a developing country with a fast economic increasing rate, has urgent need of related data and information so as to adjust its national development plan and negotiate with other countries. Remote sensing is one of the most important technologies and data sources for large-scale carbon-related researches including terrestrial ecosystem carbon cycling law, carbon sink/source pattern and sink enhancement technology. This paper introduces recent applications of remote sensing technology to the following aspects in China: monitoring land cover, simulating carbon flux, spatial distribution of carbon sink and carbon sink enhancement measures.

scholarly journals What is a Green Economy? Review of National-Level Green Economy Policies in Cambodia and Lao PDR

2020 ◽  
Vol 12 (16) ◽  
pp. 6664 ◽  
Author(s):  
Marketta Vuola ◽  
Mika Korkeakoski ◽  
Noora Vähäkari ◽  
Michael B. Dwyer ◽  
Nicholas J. Hogarth ◽  
...  
Keyword(s):  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Large Scale ◽  
National Level ◽  
Lao Pdr ◽  
National Development ◽  
Developed Countries ◽  
Green Economy ◽  
Least Developed Countries

A green economy that simultaneously promotes environmental sustainability, social inclusiveness, and economic growth is expected to benefit the heavily resource-dependent least developed countries. Yet, internationally, there is very little empirically based research on how the “green development” agenda translates into natural resource management policies in the least developed countries. This paper examines the implementation of green economy policies at the national level in the energy and forestry sectors in the Lao PDR and Cambodia. Both countries have adopted green growth targets; however, in terms of natural resources management, two contradictory processes have taken place during the past decade. While there have been some initiatives to decentralize natural resource management by enhancing the role of local communities role, such as community-based forest or fishery management, the far greater trend has been the opening up of the economies of the Lao PDR and Cambodia to large-scale investments by multinational enterprises. Large-scale hydropower projects and increasing deforestation pose challenges to more sustainable natural resource management efforts. This article is based on an analysis of the national green economy strategies and expert interviews with the government, academia, private sector and international and national development organizations. Focusing on the energy and forestry sectors, but also analysing the national green economy strategies as a whole, our analysis sheds light on the choices made in the national development versus green economy strategies. While green economy thinking rests on strong state regulation, the policies are often formulated within a complex dynamic of donor and investor interests. The achievement of a green economy depends on the state; thus, it should steer investments to ecologically less harmful industries and ensure social inclusiveness in land-use decisions. Our results show, however, that implementing a green economy is far more complex. Despite the quest for synergies, at the sectoral level there are still many unaddressed trade-offs between, for example, energy sources and forms of land use.

scholarly journals Reconciling Negative Soil CO2 Fluxes: Insights from a Large-Scale Experimental Hillslope

Soil Systems ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 10 ◽  
Author(s):  
Alejandro Cueva ◽  
Till H. M. Volkmann ◽  
Joost van Haren ◽  
Peter A. Troch ◽  
Laura K. Meredith
Keyword(s):  
Large Scale ◽  
Carbon Sink ◽  
Average Rate ◽  
Dominant Role ◽  
Alkaline Soils ◽  
Carbonate Weathering ◽  
Ecosystem Carbon ◽  
Environmental Controls ◽  
Source To Sink ◽  
Carbon Balances

Soil fluxes of CO2 (Fs) have long been considered unidirectional, reflecting the predominant roles of metabolic activity by microbes and roots in ecosystem carbon cycling. Nonetheless, there is a growing body of evidence that non-biological processes in soils can outcompete biological ones, pivoting soils from a net source to sink of CO2, as evident mainly in hot and cold deserts with alkaline soils. Widespread reporting of unidirectional fluxes may lead to misrepresentation of Fs in process-based models and lead to errors in estimates of local to global carbon balances. In this study, we investigate the variability and environmental controls of Fs in a large-scale, vegetation-free, and highly instrumented hillslope located within the Biosphere 2 facility, where the main carbon sink is driven by carbonate weathering. We found that the hillslope soils were persistent sinks of CO2 comparable to natural desert shrublands, with an average rate of −0.15 ± 0.06 µmol CO2 m2 s−1 and annual sink of −56.8 ± 22.7 g C m−2 y−1. Furthermore, higher uptake rates (more negative Fs) were observed at night, coinciding with strong soil–air temperature gradients and [CO2] inversions in the soil profile, consistent with carbonate weathering. Our results confirm previous studies that reported negative values of Fs in hot and cold deserts around the globe and suggest that negative Fs are more common than previously assumed. This is particularly important as negative Fs may occur widely in arid and semiarid ecosystems, which play a dominant role in the interannual variability of the terrestrial carbon cycle. This study contributes to the growing recognition of the prevalence of negative Fs as an important yet, often overlooked component of ecosystem C cycling.

The Technology of Remote Sensing and its Application to Terrestrial Ecosystem Restoration

2013 ◽  
Vol 748 ◽  
pp. 1176-1179
Author(s):  
Si Zhang ◽  
Chun Mei Xiong
Keyword(s):  
Remote Sensing ◽  
Terrestrial Ecosystem ◽  
Terrestrial Ecosystems ◽  
Research Area ◽  
Living Environment ◽  
Human Beings ◽  
Local Conditions ◽  
Timing Accuracy ◽  
Remote Sensing Technology ◽  
Sensing Technology

Terrestrial ecosystems as the most important type of ecological system provide humanity with a main part of the living environment, food and clothing. However, many of ecological environmental have been severely damaged by human beings irrational activities, such as mining, deforestation, excavation herbs, etc. Faced with ecological and environmental protection pressure, its urgent to carry out ecological restoration projects according to the local conditions. Remote sensing technology is widely used in terrestrial ecosystems restoration because of its objectivity, real-timing, accuracy, covering a wide area and other unique advantages. This article discusses the restoration of terrestrial ecosystems based on remote sensing technology. At last, it analyses development trends of this research area.

scholarly journals Fire and vegetation dynamics in northwest Siberia during the last 60 years based on high-resolution remote sensing

2021 ◽  
Vol 18 (1) ◽  
pp. 207-228
Author(s):  
Oleg Sizov ◽  
Ekaterina Ezhova ◽  
Petr Tsymbarovich ◽  
Andrey Soromotin ◽  
Nikolay Prihod'ko ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Carbon Balance ◽  
Climatic Factors ◽  
Carbon Sink ◽  
Vegetation Types ◽  
Burned Areas ◽  
Northern Areas ◽  
Global Carbon

Abstract. The rapidly warming Arctic undergoes transitions that can influence global carbon balance. One of the key processes is the shift towards vegetation types with higher biomass underlining a stronger carbon sink. The shift is predicted by bioclimatic models based on abiotic climatic factors, but it is not always confirmed with observations. Recent studies highlight the role of disturbances in the shift. Here we use high-resolution remote sensing to study the process of transition from tundra to forest and its connection to wildfires in the 20 000 km2 area in northwest Siberia. Overall, 40 % of the study area was burned during a 60-year period. Three-quarters of the burned areas were dry tundra. About 10 % of the study area experienced two–three fires with an interval of 15–60 years suggesting a shorter fire return interval than that reported earlier for the northern areas of central Siberia (130–350 years). Based on our results, the shift in vegetation (within the 60-year period) occurred in 40 %–85 % of the burned territories. All fire-affected territories were flat; therefore no effect of topography was detected. Oppositely, in the undisturbed areas, a transition of vegetation was observed only in 6 %–15 % of the territories, characterized by steeper topographic slopes. Our results suggest a strong role of disturbances in the tree advance in northwest Siberia.

scholarly journals Monitoring Cyanobacteria Bloom in Dianchi Lake Based on Ground-Based Multispectral Remote-Sensing Imaging: Preliminary Results

2021 ◽  
Vol 13 (19) ◽  
pp. 3970
Author(s):  
Huan Zhao ◽  
Junsheng Li ◽  
Xiang Yan ◽  
Shengzhong Fang ◽  
Yichen Du ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Cyanobacterial Bloom ◽  
Remote Sensing Data ◽  
Cyanobacterial Blooms ◽  
Dynamic Monitoring ◽  
Dianchi Lake ◽  
Sensing Technology ◽  
Multispectral Remote Sensing ◽  
Early Warnings

Some lakes in China have undergone serious eutrophication, with cyanobacterial blooms occurring frequently. Dynamic monitoring of cyanobacterial blooms is important. At present, the traditional lake-survey-based cyanobacterial bloom monitoring is spatiotemporally limited and requires considerable human and material resources. Although satellite remote sensing can rapidly monitor large-scale cyanobacterial blooms, clouds and other factors often mean that effective images cannot be obtained. It is also difficult to use this method to dynamically monitor and manage aquatic environments and provide early warnings of cyanobacterial blooms in lakes and reservoirs. In contrast, ground-based remote sensing can operate under cloud cover and thus act as a new technical method to dynamically monitor cyanobacterial blooms. In this study, ground-based remote-sensing technology was applied to multitemporal, multidirectional, and multiscene monitoring of cyanobacterial blooms in Dianchi Lake via an area array multispectral camera mounted on a rotatable cloud platform at a fixed station. Results indicate that ground-based imaging remote sensing can accurately reflect the spatiotemporal distribution characteristics of cyanobacterial blooms and provide timely and accurate data for salvage treatment and early warnings. Thus, ground-based multispectral remote-sensing data can operationalize the dynamic monitoring of cyanobacterial blooms. The methods and results from this study can provide references for monitoring such blooms in other lakes.

scholarly journals PERAN TEKNOLOGI DALAM PENENTUAN KEBIJAKAN PENGELOLAAN SUMBERDAYA AIR NASIONAL

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Arie Herlambang
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Water Resource ◽  
Environmental Sustainability ◽  
Water Resource Management ◽  
Large Scale ◽  
Remote Sensing Technology ◽  
Cultural Conditions ◽  
Sensing Technology ◽  
Catchment Areas

In the national water resource management, the data is the basis for the calculation of water reserves. In a large scale and wide, searching the data will require substantial funding, as well as with the updates. Data colecting becomes a problem and not useful if not managed with the system efficiently and effectively. Technology occupies an important role in accelerating the work, such as remote sensing technology using a satellite to determine the condition of forests and water, or a weather that can see the concentration of clouds and wind movement. Determination of catchment areas of water and protected areas, may of them using remote sensing technology. Water treatment technologies for drinking water and the development of efficient recycling technology of waste water, is very supportive in increasing water use efficiency. Technological developments also influence government policy and the implementation of water resource management. National Policy of Water Resource Management is influenced by economic factors, environmental sustainability and socio-cultural conditions. The role of technology are  facilitate, accelerate and improve the efficiency of the process, so that the process can be more economical and environmental impact is reduced, and does not conflict with the socio-cultural conditions. Keywords : Kebijakan nasional sumber daya air, potensi sda, teknologi pengolahan air

Analysis of Ecosystem Carbon Sequestration Change in Guangxi, China from 2000 to 2010 Based on Remote Sensing Data

2014 ◽  
Vol 962-965 ◽  
pp. 1377-1380
Author(s):  
Rong Yu ◽  
Wu Sheng Xiang ◽  
Huan Mei Yao ◽  
Xiu Qin Bu ◽  
Yong Yu Pan
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Carbon Sequestration ◽  
Global Climate ◽  
Terrestrial Ecosystem ◽  
Carbon Stocks ◽  
Guangxi Province ◽  
Mountain Areas ◽  
Fixed Amount ◽  
Ecosystem Carbon

The global change and terrestrial ecosystem (GCTE) is an important research issue in research of global climate change , and terrestrial Ecosystem carbon sequestration is one of the main content of the study. In this paper, ecosystem carbon sequestration capacity calculation and trend analysis of Guangxi Province were made based on the data of remote sensing inversion, for the study of the main ecosystem carbon fixed quantity of spatial distribution and change of Guangxi province over the past 10 years (2000-2010). The results indicated that the ecosystem carbon fixed amount of Guangxi region present high on all sides and low in the center , the spatial distribution of carbon is mainly depends on the spatial distribution of vegetation ecosystem, as the areas of artificial vegetation carbon stocks are generally lower than that of carbon stocks in mountain areas. The amount of carbon fixed showed a general trend of increase from 2000 to 2010.

scholarly journals SPRING POINT DETECTION OF HIGH RESOLUTION IMAGE BASED ON YOLOV3

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 645-650
Author(s):  
J. Wu ◽  
Z. Zhang ◽  
G. Huang ◽  
G. Ma
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Image Annotation ◽  
Remote Sensing Image ◽  
Acquisition Time ◽  
Data Set ◽  
Sensing Technology ◽  
Belt And Road ◽  
Point Detection ◽  
The Belt And Road

Abstract. The Xinjiang region of China is a vast and sparsely populated area with complex topography, surrounded by basins and mountains, and its geomorphological features and water circulation process make the traditional spring water resource acquisition time-consuming, labor-consuming and inaccurate. Remote Sensing Technology has the advantages of large scale, periodicity, timeliness and comprehensiveness in target detection. In order to realize the artificial intelligence detection of springs in Xinjiang, this paper presents a method of detecting springs in remote sensing image based on the YOLOV3 network framework, based on the data set of 512 * 512 by using 0.8m remote sensing image annotation, a model of recognition of spring point based on Yolov3 network is constructed and trained. The results show that the map of spring point is 0.973, which is the basis of monitoring and protecting the natural environment in the Belt and Road Initiatives.

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