"Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets"
written by David N. Kuria, Gunter Menz, Salome Misana, Emiliana Mwita, Hans-Peter Thamm, Miguel Alvarez, Neema Mogha, Mathias Becker, Helida Oyieke,
published by Advances in Remote Sensing, Vol.3 No.1, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?
International Journal of Applied Earth Observation and Geoinformation, 2018
[2] Using vegetation attributes to rapidly assess degradation of East African wetlands
Ecological Indicators, 2018
[3] Unmanned aerial vehicle-based remote sensing in monitoring smallholder, heterogeneous crop fields in Tanzania
International Journal of Remote Sensing, 2018
[4] Local modelling of land consumption in Germany with RegioClust
Int J Appl Earth Obs Geoinformation, 2018
[5] Remote sensing based assessment of land cover and soil moisture in the Kilombero floodplain in Tanzania
2018
[6] Combining Spectral Data and a DSM from UAS-Images for Improved Classification of Non-Submerged Aquatic Vegetation
Remote Sensing, 2017
[7] Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery
Remote Sensing, 2017
[8] Remote sensing for wetland classification: a comprehensive review
GIScience & Remote Sensing, 2017
[9] Images from unmanned aircraft systems for surveying aquatic and riparian vegetation
2016
[10] Fractional vegetation cover of East African wetlands observed on ground and from space
2016
[11] Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania
Advances in Remote Sensing, 2016
[12] Multisensor image fusion guidelines in remote sensing
IOP Conference Series: Earth and Environmental Science, 2016
[13] Definitions and mapping of East African wetlands: A review
Remote Sensing, 2015
[14] 10 Unmanned Aerial Systems and Structure from Motion Revolutionize Wetlands Mapping
2015
[15] A transferability study of the kernel-based reclassification algorithm for habitat delineation
International Journal of Applied Earth Observation and Geoinformation, 2014