Advertisement

The Wetland Book pp 1623-1629 | Cite as

Remote Sensing of Anthropogenic Activities: Agricultural Production

  • Nathan Torbick
  • Bill Salas
  • Xiangming Xiao
Reference work entry

Abstract

The development of aquaculture in many parts of the world has led to significant loss or conversion of wetlands. Both radar and optical remote sensing data have been used to map the extent and also development of aquaculture, which is particularly prevalent in tropical regions. Aquaculture systems are particularly distinct because of their distinct geometry. A number of studies have focused on assessing the impacts of aquaculture development on wetland ecosystems, including mangroves.

Keywords

Satellite remote sensing Aquaculture Ecosystems 

References

  1. Biradar C, Xiao X. Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005. Int J Remote Sens. 2011;32:367–86.CrossRefGoogle Scholar
  2. Chen C, McNairn H. A neural network integrated approach for rice crop monitoring. Int J Remote Sens. 2006;27(7):1367–93.CrossRefGoogle Scholar
  3. Inoue Y, Kurosu T, Maeno H, Uratsuka S, Kozu T, Dabrowska Zielinska K, Qi J. Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarizaiton backscatter signatures over paddy rice field and their relationship with biological variables. Remote Sens Environ. 2002;81:194–204.CrossRefGoogle Scholar
  4. Le Toan T, Ribbes F, Wang LF, Floury N, Ding KH, Kong JA, Fujita M. Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results. IEEE Geosci Remote Sens. 1997;35:41–56.CrossRefGoogle Scholar
  5. Li C, Frolking S, Xiao X, Moore B, Boles S, Qiu J, Huang Y, Salas W, Sass R. Modeling impacts of farming management alternatives on CO2, CH4, and N2O emissions: a case study for water management of rice agriculture in China. Global Biogeochem Cycles 2005;19(3).  https://doi.org/10.1029/2004GB002341.
  6. Ribbes F, Le Toan T. Rice parameter retrieval and yield prediction using Radarsat data. Towards digital earth – Proceedings of the International Symposium in Digital Earth, Toulouse, France; 1999.Google Scholar
  7. Sakamoto T, Yokozawa M, Toritani H, Shibayama M, Ishitsuka N, Ohno H. Spatio–temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers. Remote Sens Environ. 2008;100:1–16.CrossRefGoogle Scholar
  8. Salas W, Boles S, Li C, Yeluripati J, Xiao X, Frolking S, Green P. Mapping and modeling of greenhouse gas emissions from rice paddies with satellite radar observations and the DNDC biogeochemical model. Aquat Conserv Mar Freshwat Ecosyst. 2007;17:319–29.CrossRefGoogle Scholar
  9. Torbick N, Salas W, Xiao X, Ingraham P, Fearon M, Biradar C, Zhao D, Liu Y, Li P, Zhao Y. Integrating SAR and optical imagery for regional mapping of paddy rice attributes in the Poyang Lake Watershed, China. Can J Remote Sens. 2011;37:17–26.CrossRefGoogle Scholar
  10. Wassmann R, Neue HU, Lantin RS, Makarim K, Chareonsilp N, Buendia LV, Rennenberg H. Characterization of methane emissions from rice fields in Asia. II. Differences among irrigated, rainfed, and deepwater rice. Nutr Cycl Agroecosyst. 2000;58:13–22.CrossRefGoogle Scholar
  11. Xiao XM, Boles S, Liu JY, Zhuang DF, Frolking S, Li C, Salas W, Moore B. 2005. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remot Sens Environ. 2005;95:480–92.CrossRefGoogle Scholar
  12. Xiao X, Boles S, Frokling S, Li C, Badu J, Salas W, Moore B. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remot Sens Environ. 2006;100:95–113.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Applied GeoSolutionsDurhamUSA
  2. 2.Applied GeoSolutions, Complex Systems Research CentreUniversity of New HampshireDurhamUSA
  3. 3.Department of Microbiology and Plant BiologyUniversity of OklahomaNormanUSA

Personalised recommendations