A multidecadal change analysis for irrigation ponds in Taoyuan, Taiwan, using multisource data

Paddy and Water Environment - Tập 18 - Trang 1-14 - 2019
Yen-Ching Chen1, Wei-Chun Lin1,2, Lin-Hsuan Hsiao3, Ke-Sheng Cheng2,4,5
1Department of Landscape Architecture, Fu Jen Catholic University, New Taipei City, Taiwan, ROC
2Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan, ROC
3Newegg, Inc., Taipei, Taiwan, ROC
4Master Program in Statistics, National Taiwan University, Taipei, Taiwan, ROC
5Hydroteh Research Institute, National Taiwan University, Taipei, Taiwan, ROC

Tóm tắt

A multidecadal change analysis of the irrigation ponds in Taoyuan, Taiwan, was conducted by using multisource data including digitized ancient maps, declassified single-band CORONA satellite images, and multispectral SPOT images. Ponds and paddy fields are texturally similar but spectrally different, whereas the paddy fields and built-up are texturally different but spectrally similar. In this study, supervised land-use/land-cover classifications were conducted using four textural features derived from the single-band CORONA images and spectral features derived from SPOT images. Post-classification analysis revealed that the number of irrigation ponds in the study area decreased during the post-World War II farmland consolidation period (1945–1965) and the subsequent industrialization period (1970–2000). However, efforts on restoration of irrigation ponds in recent years have resulted in gradual increases in the number (9%) and total area (12%) of irrigation ponds in the study area.

Tài liệu tham khảo

Academia Sinica (2018a) Map and remote sensing images digital archive project. http://gis.rchss.sinica.edu.tw/mapdap/. Accessed 16 Jun 2018 Academia Sinica (2018b) Taiwan land map digital archive. http://webgis.sinica.edu.tw/website/htwn/viewer.htm. Accessed 16 Jun 2018 Andrearczyk V, Whelan PF (2016) Using filter banks in Convolutional Neural Networks for texture classification. Pattern Recognit Lett 84:63–69 Chen YC, Lin WC, Cheng KS (2017) Does urbanization increase diurnal land surface temperature variation? Evidence and implications. Landsc Urban Plan 157:247–258 Cheng KS, Su YF, Kuo FT, Hung WC, Chiang JL (2008) Assessing the effect of landcover on air temperature using remote sensing images—a pilot study in northern Taiwan. Landsc Urban Plan 85:85–96 Fukuda S, Hiramatsu K, Mori M (2006) Fuzzy neural network model for habitat prediction and HEP for habitat quality estimation focusing on Japanese medaka (Oryzias latipes) in agricultural canals. Paddy Water Environ 4:119–124 Greppi M (2004) Infiltration process and groundwater table rising in a paddy field area. Paddy Water Environ 2:171–179 Haralick R, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cybern SMC-3:611–621 Ishikawa M, Tabuchi T, Yamaji E (2003) Clarification of adsorption and movement by predicting ammonia nitrogen concentrations in paddy percolation water. Paddy Water Environ 1:27–33 Lin WC (1966) Hydrology and hydraulics of the Taoyuan Plateau. Master Thesis, Graduate Institute of Geography, Chinese Culture University, Taipei, Taiwan, ROC (in Chinese) Marceau DJ, Howarth PJ, Dubois JM, Gratton DJ (1990) Evaluation of the grey-level co-occurrence matrix method for land-cover classification using SPOT imagery. IEEE Trans Geosci Remote Sens 28:513–519 Nakanishi N (2004) Potential rainwater storage capacity of irrigation ponds. Paddy Water Environ 2:91–97 Puissant A, Hirsch J, Weber C (2005) The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery. Int J Remote Sens 26:733–745 Richards JA (1995) Remote sensing digital image analysis, 2nd edn. Springer, New York Saptomo SK, Nakano Y, Yuge K, Haraguchi T (2004) Observation and simulation of thermal environment in a paddy field. Paddy Water Environ 2:73–82 Schowengerdt RA (2006) Remote sensing: models and methods for image processing, 3rd edn. Academic Press, London Sun C, Wu Z, Lv Z, Yao N, Wei J (2013) Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data. Int J Appl Earth Obs Geoinf 21:409–417 Unami K, Kawachi T (2005) Systematic assessment of flood mitigation in a tank irrigated paddy fields area. Paddy Water Environ 3:191–199 U.S. Geological Survey (2018) Declassified satellite imagery—1, USGS long term archive. https://lta.cr.usgs.gov/declass_1. Accessed 16 Jun 2018 Yokohari M, Brown RD, Takeuchi K (1994) A framework for the conservation of rural ecological landscapes in the urban fringe area in Japan. Landsc Urban Plan 29:103–116 Yokohari M, Brown RD, Kato Y, Moriyama H (1997) Effect of paddy fields on summertime air and surface temperatures in urban fringe areas of Tokyo, Japan. Landsc Urban Plan 38:1–11 Yokohari M, Brown RD, Kato Y, Yamamoto S (2001) The cooling effect of paddy fields on summertime air temperature in residential Tokyo, Japan. Landsc Urban Plan 53:17–27 Zhang Y (1999) Optimisation of building detection in satellite images by combining multispectral classification and texture filtering. ISPRS J Photogram Remote Sens 54:50–60