A method for choice of optimum scale on land use monitoring in Tarim River Basin

Jing-bo, Zhao; Chen, Xi; Bao, Anming; Zhang, Chao; Shi, Wei

doi:10.1007/s11442-009-0340-5

Cited by 9 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The classification system for the secondary category includes WB, FL, shrub land (SL), sparsely forestland, low-coverage grassland, moderate-coverage grassland, high-coverage grassland, CL, RL, and UL. The classification used ENVI and ArcGIS software, augmented by GPS on field trips [ 27 , 28 ]. The FL site in this study does not contain SL; the GL site includes low-, moderate-, and high-coverage grassland; and the UL site is bare land.…”

Section: Methodsmentioning

confidence: 99%

Land-use/cover conversion affects soil organic-carbon stocks: A case study along the main channel of the Tarim River, China

Yang

Chen

et al. 2018

PLoS ONE

View full text Add to dashboard Cite

Soil organic carbon (SOC) constitutes a large pool within the global carbon cycle. Changes in land-use/cover strongly drive variation of SOC stocks. We analyzed the changes in four types of land use/cover and their influence on SOC content, density, and regional stocks along the main channel of the Tarim River in China for 2000–2010 obtained from remotely sensed images and field surveys. The areas and structures of the land uses/covers changed greatly during this period. Specifically, the areas of cultivated, industrial and residential, and shrub land increased, particularly cultivated and shrub land. The areas of forestland, grassland, water bodies, and unused land decreased. SOC stocks in forestland, grassland and unused land decreased between 2000 and 2010. The total SOC stock for the forestland shrub land grassland and unused land was lower in 2010 than 2000. Land-use/cover conversion thus affected SOC stocks. Specifically, conversions from forestland to shrub land, forestland to grassland, forestland to unused land, grassland to shrub land, grassland to unused land, and shrub land to unused land decreased the SOC stocks. This study provides a scientific basis for eco-environmental protection in arid areas.

show abstract

Section: Methodsmentioning

confidence: 99%

Land-use/cover conversion affects soil organic-carbon stocks: A case study along the main channel of the Tarim River, China

Yang

Chen

et al. 2018

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Moeckel and Donnelly [33] proposed a gradually-refined quadtree grid for use in statewide transportation modeling. Information theory has been applied in optimizing spatial resolution for gridded representation of land use/land cover types [34], ecological indices [35], and hydrological processes [36]. However, the recent high-resolution urban FFCO 2 emissions estimation natively take the form of a mix of point-, polyline-, and polygon-shaped emitting sources, which make it more complicated to determine a maximum spatial resolution at which the inherent spatial heterogeneity can be well-preserved.…”

Section: Grid Scale Optimizationmentioning

confidence: 99%

Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy

et al. 2017

View full text Add to dashboard Cite

Abstract:The 'Hestia Project' uses a bottom-up approach to quantify fossil fuel CO 2 (FFCO 2 ) emissions spatially at the building/street level and temporally at the hourly level. Hestia FFCO 2 emissions are provided in the form of a group of sector-specific vector layers with point, line, and polygon sources to support carbon cycle science and climate policy. Application to carbon cycle science, in particular, requires regular gridded data in order to link surface carbon fluxes to atmospheric transport models. However, the heterogeneity and complexity of FFCO 2 sources within regular grids is sensitive to spatial resolution. From the perspective of a data provider, we need to find a balance between resolution and data volume so that the gridded data product retains the maximum amount of information content while maintaining an efficient data volume. The Shannon entropy determines the minimum bits that are needed to encode an information source and can serve as a metric for the effective information content. In this paper, we present an analysis of the Shannon entropy of gridded FFCO 2 emissions with varying resolutions in four Hestia study areas, and find: (1) the Shannon entropy increases with smaller grid resolution until it reaches a maximum value (the max-entropy resolution); (2) total emissions (the sum of several sector-specific emission fields) show a finer max-entropy resolution than each of the sector-specific fields; (3) the residential emissions show a finer max-entropy resolution than the commercial emissions; (4) the max-entropy resolution of the onroad emissions grid is closely correlated to the density of the road network. These findings suggest that the Shannon entropy can detect the information effectiveness of the spatial resolution of gridded FFCO 2 emissions. Hence, the resolution-entropy relationship can be used to assist in determining an appropriate spatial resolution for urban CO 2 flux studies. We conclude that the optimal spatial resolution for providing Hestia total FFCO 2 emissions products is centered around 100 m, at which the FFCO 2 emissions data can not only fully meet the requirement of urban flux integration, but also be effectively used in understanding the relationships between FFCO 2 emissions and various social-economic variables at the U.S. census block group level.

show abstract

“…Several factors such as the different sensor types (Tian et al, 2015), satellite drift (Fensholt et al, 2009), trend detection algorithm (Wu et al, 2021), and the spatiotemporal scale effects (Chen et al, 2007;Zhao et al, 2009;Alcaraz et al, 2010;Beck et al, 2011) are considered to be responsible to these discrepancies. Despite the various kinds of error sources, this study focuses on the spatiotemporal scale effects on trend estimates and their influence characteristics, because few articles provide a systematic analysis of this issue and we are far from having a complete understanding of this crucial phenomenon.…”

Section: Introductionmentioning

confidence: 99%

The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau

Wang

et al. 2023

J. Geogr. Sci.

View full text Add to dashboard Cite

The trend estimate of vegetation change is essential to understand the change rule of the ecosystem. Previous studies were mainly focused on quantifying trends or analyzing their spatial distribution characteristics. Nevertheless, the uncertainties of trend estimates caused by spatiotemporal scale effects have rarely been studied. In response to this challenge, this study aims to investigate spatiotemporal scale effects on trend estimates using Moderate-Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Gross Primary Productivity (GPP) products from 2001 to 2019 in the Qinghai-Tibet Plateau (QTP). Moreover, the possible influencing factors on spatiotemporal scale effect, including spatial heterogeneity, topography, and vegetation types, were explored. The results indicate that the spatial scale effect depends more on the dataset with a coarser spatial resolution, and temporal scale effects depend on the time span of datasets. Unexpectedly, the trend estimates on the 8-day and yearly scale are much closer than that on the monthly scale. In addition, in areas with low spatial heterogeneity, low topography variability, and sparse vegetation, the spatiotemporal scale effect can be ignored, and vice versa. The results in this study help deepen the consciousness and understanding of spatiotemporal scale effects on trend detection.

show abstract

A method for choice of optimum scale on land use monitoring in Tarim River Basin

Cited by 9 publications

References 22 publications

Land-use/cover conversion affects soil organic-carbon stocks: A case study along the main channel of the Tarim River, China

Land-use/cover conversion affects soil organic-carbon stocks: A case study along the main channel of the Tarim River, China

Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy

The spatiotemporal scale effect on vegetation interannual trend estimates based on satellite products over Qinghai-Tibet Plateau

Contact Info

Product

Resources

About