Remote sensing for mapping natural habitats and their conservation status–New opportunities and challenges
Safeguarding the diversity of natural and semi-natural habitats in Europe is one of the aims
set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural …
set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural …
Review of the use of remote sensing for biomass estimation to support renewable energy generation
The quantification, mapping and monitoring of biomass are now central issues due to the
importance of biomass as a renewable energy source in many countries of the world. The …
importance of biomass as a renewable energy source in many countries of the world. The …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery
Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate mapping of tree species through remote …
expansion during the past few decades. Accurate mapping of tree species through remote …
Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves
Green-leaf phenology describes the development of vegetation throughout a growing
season and greatly affects the interaction between climate and the biosphere. Remote …
season and greatly affects the interaction between climate and the biosphere. Remote …
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery
R Bhattarai, P Rahimzadeh-Bajgiran… - ISPRS Journal of …, 2021 - Elsevier
Spruce budworm (Choristoneura fumiferana; SBW) is the most destructive forest pest of
northeastern Canada and United States. SBW occurrence as well as the extent and severity …
northeastern Canada and United States. SBW occurrence as well as the extent and severity …
SAR and optical remote sensing: Assessment of complementarity and interoperability in the context of a large-scale operational forest monitoring system
EA Lehmann, P Caccetta, K Lowell, A Mitchell… - Remote Sensing of …, 2015 - Elsevier
In light of the growing volumes of remote sensing data generated by multiple space-borne
platforms, integrated multi-sensor frameworks will continue to generate a significant interest …
platforms, integrated multi-sensor frameworks will continue to generate a significant interest …
Classification of nemoral forests with fusion of multi-temporal sentinel-1 and 2 data
KS Bjerreskov, T Nord-Larsen, R Fensholt - Remote Sensing, 2021 - mdpi.com
Mapping forest extent and forest cover classification are important for the assessment of
forest resources in socio-economic as well as ecological terms. Novel developments in the …
forest resources in socio-economic as well as ecological terms. Novel developments in the …
Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest
Accurate and reliable information on tree species composition and distribution is crucial in
operational and sustainable forest management. Developing a high-precision tree species …
operational and sustainable forest management. Developing a high-precision tree species …
Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales
Fine-scale biodiversity is increasingly recognized as important to ecosystem-level
processes. Remote sensing technologies have great potential to estimate both biodiversity …
processes. Remote sensing technologies have great potential to estimate both biodiversity …