User profiles for Esra Erten
esra ertenIstanbul Technical University Verified email at itu.edu.tr Cited by 1461 |
[PDF][PDF] Forest fire risk zone mapping from satellite imagery and GIS: a case study
E Erten, V Kurgun, N Musaoglu - … Congress of the International Society for …, 2004 - isprs.org
Forest fires are one of the major natural risk in the Mediterranean countries. In such areas,
fires occur frequently and there is a need for supranational approaches that analyse wide …
fires occur frequently and there is a need for supranational approaches that analyse wide …
Retrieval of agricultural crop height from space: A comparison of SAR techniques
This paper deals with the retrieval of agricultural crop height from space by using
multipolarization Synthetic Aperture Radar (SAR) images. Coherent and incoherent crop height …
multipolarization Synthetic Aperture Radar (SAR) images. Coherent and incoherent crop height …
Paddy-rice monitoring using TanDEM-X
This paper evaluates the potential of spaceborne bistatic interferometric synthetic aperture
radar images for the monitoring of biophysical variables in wetlands, with a special interest on …
radar images for the monitoring of biophysical variables in wetlands, with a special interest on …
Estimation of rice crop height from X-and C-band PolSAR by metamodel-based optimization
Rice crops are important in global food economy and are monitored by precise agricultural
methods, in which crop morphology in high spatial resolution becomes the point of interest. …
methods, in which crop morphology in high spatial resolution becomes the point of interest. …
Paddy-rice phenology classification based on machine-learning methods using multitemporal co-polar X-band SAR images
Crop monitoring and phenology estimation based on the satellite systems have become an
important research area due to high demand on crops. Satellites with synthetic aperture …
important research area due to high demand on crops. Satellites with synthetic aperture …
Soil moisture prediction from remote sensing images coupled with climate, soil texture and topography via deep learning
Soil moisture (SM) is an important biophysical parameter by which to evaluate water resource
potential, especially for agricultural activities under the pressure of global warming. The …
potential, especially for agricultural activities under the pressure of global warming. The …
Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data
JM Lopez-Sanchez, F Vicente-Guijalba, E Erten… - Remote Sensing of …, 2017 - Elsevier
This work presents for the first time a demonstration with satellite data of polarimetric SAR
interferometry (PolInSAR) applied to the retrieval of vegetation height in rice fields. Three …
interferometry (PolInSAR) applied to the retrieval of vegetation height in rice fields. Three …
Glacier velocity monitoring by maximum likelihood texture tracking
The performance of a tracking algorithm considering remotely sensed data strongly depends
on a correct statistical description of the data, ie, its noise model. The objective of this paper …
on a correct statistical description of the data, ie, its noise model. The objective of this paper …
Rice growth monitoring by means of X-band co-polar SAR: Feature clustering and BBCH scale
Precision agriculture research, which aims to monitor agricultural fields and to manage
agricultural practice by considering overall environmental impacts, has gained momentum with …
agricultural practice by considering overall environmental impacts, has gained momentum with …
Determining rice growth stage with X-band SAR: A metamodel based inversion
Rice crops are important in the global food economy, and new techniques are being
implemented for their effective management. These techniques rely mainly on the changes in the …
implemented for their effective management. These techniques rely mainly on the changes in the …