Published February 2018 | Version v1
Journal article

Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data

  • 1. Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, PR (China)

Description

Highlights: • Quantifying the impacts of urban sprawl on NPP at a fine resolution • The accuracy of NPP was improved using spatiotemporal fusion algorithm. • The loss in 30-m resolution NPP was much higher than 500-m resolution NPP. Urbanization has profoundly altered the terrestrial ecosystem carbon cycle, especially the net primary productivity (NPP). Many attempts have been made to assess the influence of urbanization on NPP at coarse resolutions (e.g., 250 m or larger), which may ignore many smaller and highly fragmented urban lands, and to a large extent, underestimate the NPP variations induced by urban sprawl. Hence, we attempted to analyze the NPP variations influenced by urban sprawl at a fine resolution (e.g., 30 m), toward which the accuracy of NPP was improved using remotely sensed data fusion algorithm. In this paper, this assumption was tested in the Pearl River Delta of China. The land cover datasets from the Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM +) were acquired to quantify the urban sprawl. The synthetic Normal Differential Vegetation Index (NDVI) data was obtained by fusing Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI via spatiotemporal fusion algorithm. The Carnegie-Ames-Stanford Approach (CASA) model was driven by land cover map, synthetic NDVI and meteorological data to estimate the 30-m resolution NPP. Then, we analyzed the influence of urban sprawl on 30-m resolution NPP during the period of 2001–2009. Additionally, we also simulated the spatiotemporal change of future urban sprawl under different scenarios using the Future Land Use Simulation (FLUS) model, and further analyzed its influence on 30-m resolution NPP. Our results showed that the accuracy of 30-m resolution NPP from synthetic NDVI is better than 500-m resolution NPP from MODIS NDVI. The loss in 30-m resolution NPP due to urban sprawl was much higher than 500-m resolution NPP. Moreover, the harmonious development scenario, characterized by a reasonable size of urban sprawl and a corresponding lower NPP loss from 2009 to 2050, would be considered as a more human-oriented and sustainable development strategy.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2017.09.139

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2017.09.139;
PII
S0048969717324889;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
613
Journal Page Range
p. 1417-1429
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53016910
Subject category
S54: ENVIRONMENTAL SCIENCES; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; CARBON CYCLE; CHINA; DATASETS; LAND USE; METEOROLOGY; PLANTS; RESOLUTION; RIVER DELTAS; SIMULATION; SPECTROSCOPY; SUSTAINABLE DEVELOPMENT; TERRESTRIAL ECOSYSTEMS; URBAN AREAS
Descriptors DEC
ASIA; COASTAL REGIONS; DOCUMENT TYPES; ECOSYSTEMS; MATHEMATICAL LOGIC; RESOURCE DEVELOPMENT

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.