Remote sensing and crop** practices: A review

A Bégué, D Arvor, B Bellon, J Betbeder… - Remote Sensing, 2018 - mdpi.com
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …

Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement

W Neumann, S Martinuzzi, AB Estes, AM Pidgeon… - Movement ecology, 2015 - Springer
Animal movement patterns in space and time are a central aspect of animal ecology.
Remotely-sensed environmental indices can play a key role in understanding movement …

Object detection in high resolution remote sensing imagery based on convolutional neural networks with suitable object scale features

Z Dong, M Wang, Y Wang, Y Zhu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Object detection in high spatial resolution remote sensing images (HSRIs) is an important
part of image information automatic extraction, analysis, and understanding. The region of …

Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned …

RA Diaz-Varela, PJ Zarco-Tejada, V Angileri… - Journal of environmental …, 2014 - Elsevier
Agricultural terraces are features that provide a number of ecosystem services. As a result,
their maintenance is supported by measures established by the European Common …

Fine-scale detection of vegetation in semi-arid mountainous areas with focus on riparian landscapes using Sentinel-2 and UAV data

A Daryaei, H Sohrabi, C Atzberger… - Computers and Electronics …, 2020 - Elsevier
Sparse vegetation such as riparian forests and trees outside forests (TOF) cover only small
areas but present various ecological advantages. The detection of these vegetation types in …

Effects of landscape configuration on map** ecosystem service capacity: a review of evidence and a case study in Scotland

W Verhagen, AJA Van Teeffelen… - Landscape …, 2016 - Springer
Context Humans structure landscapes for the production of food, fibre and fuel, commonly
resulting in declines of non-provisioning ecosystem services (ESs). Heterogeneous …

Classification of polarimetric SAR images based on modeling contextual information and using texture features

A Masjedi, MJV Zoej… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes a novel contextual method for classification of polarimetric synthetic
aperture radar data. The method combines support vector machine (SVM) and Wishart …

A novel automatic change detection method for urban high-resolution remotely sensed imagery based on multiindex scene representation

D Wen, X Huang, L Zhang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The new generation of Earth observation sensors with high spatial resolution can provide
detailed information for change detection. The widely used methods for high-resolution …

Optimal segmentation of high-resolution remote sensing image by combining superpixels with the minimum spanning tree

M Wang, Z Dong, Y Cheng, D Li - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Image segmentation is the foundation of object-based image analysis, and many
researchers have sought optimal segmentation results. The initial image oversegmentation …

Object-based greenhouse horticultural crop identification from multi-temporal satellite imagery: A case study in Almeria, Spain

MA Aguilar, A Vallario, FJ Aguilar, A García Lorca… - Remote Sensing, 2015 - mdpi.com
Greenhouse detection and map** via remote sensing is a complex task, which has
already been addressed in numerous studies. In this research, the innovative goal relies on …