Estimation of flood losses to agricultural crops using remote sensing-Reference-Cited by-同舟云学术

Estimation of flood losses to agricultural crops using remote sensing

Published:2011-01 Issue:7-8 Volume:36 Page:253-265
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Tapia-Silva Felipe-Omar,Itzerott Sibylle,Foerster Saskia,Kuhlmann Bernd,Kreibich Heidi

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference39 articles.

1. Efficiency of crop Identification based on optical and SAR image time series;Blaes;Rem. Sens. Environ.,2005

2. Bouckaert, R.R., 2004. Bayesian Network Classifiers in Weka. (accessed July 2010).

3. Brenning, A., Kaden, K., Itzerott, S., 2006. Comparing classifiers for crop identification based on multitemporal Landsat TM/ETM data. In: Proceedings of the 2nd Workshop of the EARSeL SIG on Land Use and Land Cover Bonn.

4. Bronstert, A., 2004. Möglichkeiten zur Minderung des Hochwasserrisikos durch Nutzung von Flutpoldern an Havel und Oder. (Options to reduce the flooding risk trouhg use of flood detention areas on the Havel and Oder rivers), Brandenburgische Umweltberichte 15 (in German).

5. Bronstert, A., Itzerott, S., (Eds.), 2006. Bewirtschaftungsmöglichkeiten im Einzugsgebiet der Havel: Abschlussbericht zum BMBF-Forschungsprojekt. Universität Potsdam. http://opus.kobv.de/ubp/volltexte/2006/817/ (accessed March 2011).

Cited by 64 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flood damage models and flood damage factors in a data-scarce river basin, Nigeria;Environmental Hazards;2024-08-27

2. AUTOMATED DETECTION AND ASSESSMENT OF WAR-INDUCED DAMAGE TO AGRICULTURAL FIELDS USING SATELLITE IMAGERY;Automation of technological and business processes;2024-05-23

3. The Construction of a Crop Flood Damage Assessment Index to Rapidly Assess the Extent of Postdisaster Impact;Remote Sensing;2024-04-26

4. Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview;Earth's Future;2024-01

5. Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19