Next Article in Journal
Response Characterization of a Fiber Optic Sensor Array with Dye-Coated Planar Waveguide for Detection of Volatile Organic Compounds
Previous Article in Journal
Parylene C-Based Flexible Electronics for pH Monitoring Applications
Sensors 2014, 14(7), 11640-11658; doi:10.3390/s140711640
Article

Land Classification and Change Intensity Analysis in a Coastal Watershed of Southeast China

1,2
, 1,2,* , Jr. 3
 and 1,2
Received: 4 May 2014; in revised form: 27 June 2014 / Accepted: 27 June 2014 / Published: 1 July 2014
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [1527 KB, updated 2 July 2014; original version uploaded 1 July 2014]   |   Browse Figures
Abstract: The aim of this study is to improve the understanding of land changes in the Jiulong River watershed, a coastal watershed of Southeast China. We developed a stratified classification methodology for land mapping, which combines linear stretching, an Iterative Self-Organizing Data Analysis (ISODATA) clustering algorithm, and spatial reclassification. The stratified classification for 2002 generated less overall error than an unstratified classification. The stratified classifications were then used to examine temporal differences at 1986, 1996, 2002, 2007 and 2010. Intensity Analysis was applied to analyze land changes at three levels: time interval, category, and transition. Results showed that land use transformation has been accelerating. Woodland’s gains and losses were dormant while the gains and losses of Agriculture, Orchard, Built-up and Bare land were active during all time intervals. Water’s losses were active and stationary. The transitions from Agriculture, Orchard, and Water to Built-up were systematically targeting and stationary, while the transition from Woodland to Built-up was systematically avoiding and stationary.
Keywords: land-use and land-cover; stratified classification; intensity analysis; coastal watershed land-use and land-cover; stratified classification; intensity analysis; coastal watershed
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Zhou, P.; Huang, J.; Pontius, R.G., Jr.; Hong, H. Land Classification and Change Intensity Analysis in a Coastal Watershed of Southeast China. Sensors 2014, 14, 11640-11658.

AMA Style

Zhou P, Huang J, Pontius RG, Jr, Hong H. Land Classification and Change Intensity Analysis in a Coastal Watershed of Southeast China. Sensors. 2014; 14(7):11640-11658.

Chicago/Turabian Style

Zhou, Pei; Huang, Jinliang; Pontius, Robert G., Jr.; Hong, Huasheng. 2014. "Land Classification and Change Intensity Analysis in a Coastal Watershed of Southeast China." Sensors 14, no. 7: 11640-11658.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert