[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
and machine learning algorithms for estimating important biophysical and biochemical …
[HTML][HTML] Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data
Roads and roadsides provide dispersal channels for non-native invasive alien plants (IAP),
many of which hold devastating impacts in the economy, human health, biodiversity and …
many of which hold devastating impacts in the economy, human health, biodiversity and …
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales
M Hall-Beyer - International Journal of Remote Sensing, 2017 - Taylor & Francis
Texture measurements quantitatively describe relationships of DN values of neighbouring
pixels. The output is a continuous measure of spatial information that may be used for further …
pixels. The output is a continuous measure of spatial information that may be used for further …
Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery
Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding
and crop management, and can be used for crop yield prediction. A number of vegetation …
and crop management, and can be used for crop yield prediction. A number of vegetation …
[HTML][HTML] Integration of sentinel-1 and sentinel-2 for classification and LULC mapping in the urban area of Belém, eastern Brazilian Amazon
In tropical regions, such as in the Amazon, the use of optical sensors is limited by high cloud
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
Mapping and assessment of vegetation types in the tropical rainforests of the Western Ghats using multispectral Sentinel-2 and SAR Sentinel-1 satellite imagery
JJ Erinjery, M Singh, R Kent - Remote Sensing of Environment, 2018 - Elsevier
Detailed mapping and regular monitoring of tropical rainforests is important for conservation
and management of highly fragmented tropical rainforest habitats and biodiversity. Several …
and management of highly fragmented tropical rainforest habitats and biodiversity. Several …
[HTML][HTML] Timing is important: Unmanned aircraft vs. satellite imagery in plant invasion monitoring
The rapid spread of invasive plants makes their management increasingly difficult. Remote
sensing offers a means of fast and efficient monitoring, but still the optimal methodologies …
sensing offers a means of fast and efficient monitoring, but still the optimal methodologies …
[HTML][HTML] Object-based image classification of summer crops with machine learning methods
The strategic management of agricultural lands involves crop field monitoring each year.
Crop discrimination via remote sensing is a complex task, especially if different crops have a …
Crop discrimination via remote sensing is a complex task, especially if different crops have a …
Object-oriented mapping of urban trees using Random Forest classifiers
A Puissant, S Rougier, A Stumpf - … Journal of Applied Earth Observation and …, 2014 - Elsevier
Since vegetation in urban areas delivers crucial ecological services as a support to human
well-being and to the urban population in general, its monitoring is a major issue for urban …
well-being and to the urban population in general, its monitoring is a major issue for urban …
Early season detection of rice plants using RGB, NIR-GB and multispectral images from unmanned aerial vehicle (UAV)
Crop plant detection is vital for mapping crop planting area and extracting pure crop canopy
information. In this study, three cameras (RGB, color infrared (NIR-GB) and multispectral …
information. In this study, three cameras (RGB, color infrared (NIR-GB) and multispectral …