Blar i Publikasjoner fra CRIStin - NIBIO på tidsskrift "Remote Sensing"
Viser treff 1-20 av 20
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Accuracy of the Copernicus High-Resolution Layer Imperviousness Density (HRL IMD) Assessed by Point Sampling within Pixels
(Peer reviewed; Journal article, 2022-07-28)The Copernicus high-resolution layer imperviousness density (HRL IMD) for 2018 is a 10 m resolution raster showing the degree of soil sealing across Europe. The imperviousness gradation (0–100%) per pixel is determined by ... -
Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch
(Journal article; Peer reviewed, 2019-03-06)Global Forest Watch (GFW) provides a global map of annual forest cover loss (FCL) produced from Landsat imagery, offering a potentially powerful tool for monitoring changes in forest cover. In managed forests, FCL primarily ... -
Canopy fluorescence sensing for in-season maize nitrogen status diagnosis
(Peer reviewed; Journal article, 2021-12-17)Accurate assessment of crop nitrogen (N) status and understanding the N demand are considered essential in precision N management. Chlorophyll fluorescence is unsusceptible to confounding signals from underlying bare soil ... -
Combining MODIS and National Land Resource Products to Model Land Cover-Dependent Surface Albedo for Norway
(Journal article; Peer reviewed, 2019-04-10)Surface albedo is an important physical attribute of the climate system and satellite retrievals are useful for understanding how it varies in time and space. Surface albedo is sensitive to land cover and structure, which ... -
Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters
(Peer reviewed; Journal article, 2020-10-07)Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields. Hyperspectral image ... -
Detection of forest clear-cuts with shuttle radar topography mission (SRTM) and tandem-X InSAR data
(Journal article; Peer reviewed, 2013-10-24)The aim of this study was to determine whether forest clear-cuts during 2000–2011 could be detected as a decrease in surface height by combining Digital Surface Models (DSMs) from the Shuttle Radar Topography Mission (SRTM) ... -
Developing a proximal active canopy sensor-based precision nitrogen management strategy for high-yielding rice
(Peer reviewed; Journal article, 2020-05-02)RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor-based precision nitrogen (N) management (PNM) ... -
Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance
(Peer reviewed; Journal article, 2022-05-19)Active crop sensor-based precision nitrogen (N) management can significantly improve N use efficiency but generally does not increase crop yield. The objective of this research was to develop and evaluate an active canopy ... -
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
(Peer reviewed; Journal article, 2020-04-14)Laser scanning data from unmanned aerial vehicles (UAV-LS) offer new opportunities to estimate forest growing stock volume ( V ) exclusively based on the UAV-LS data. We propose a method to measure tree attributes and using ... -
Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity
(Peer reviewed; Journal article, 2022-11-25)The remote sensing of the biophysical and biochemical parameters of crops facilitates the preparation of application maps for variable-rate nitrogen fertilization. According to comparative studies of machine learning ... -
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review
(Peer reviewed; Journal article, 2021-08-26)Rapid technological advances in airborne hyperspectral and lidar systems paved the way for using machine learning algorithms to map urban environments. Both hyperspectral and lidar systems can discriminate among many ... -
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
(Peer reviewed; Journal article, 2020-01-08)Optimizing nitrogen (N) management in rice is crucial for China’s food security and sustainable agricultural development. Nondestructive crop growth monitoring based on remote sensing technologies can accurately assess ... -
Interferometric SAR DEMs for Forest Change in Uganda 2000–2012
(Journal article; Peer reviewed, 2018-02-02)Monitoring changes in forest height, biomass and carbon stock is important for understanding the drivers of forest change, clarifying the geography and magnitude of the fluxes of the global carbon budget and for providing ... -
Land cover segmentation of airborne LiDAR data using stochastic atrous network
(Journal article; Peer reviewed, 2018-06-19)Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR) data, we present a research process that compares ... -
Mapping Seasonal Agricultural Land Use Types Using Deep Learning on Sentinel-2 Image Time Series
(Peer reviewed; Journal article, 2021-01-15)The size and location of agricultural fields that are in active use and the type of use during the growing season are among the vital information that is needed for the careful planning and forecasting of agricultural ... -
Modeling the spatiotemporal dynamics of gross domestic product in China using extended temporal coverage nighttime light data
(Journal article; Peer reviewed, 2017-06-18)Nighttime light data derived from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) in conjunction with the Soumi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer ... -
Modelling above ground biomass in Tanzanian miombo woodlands using TanDEM-X WorldDEM and field data
(Journal article; Peer reviewed, 2017-09-22)The use of Interferometric Synthetic Aperture Radar (InSAR) data has great potential for monitoring large scale forest above ground biomass (AGB) in the tropics due to the increased ability to retrieve 3D information even ... -
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce
(Peer reviewed; Journal article, 2022-08-08)Numerous species of pathogenic wood decay fungi, including members of the genera Heterobasidion and Armillaria, exist in forests in the northern hemisphere. Detection of these fungi through field surveys is often difficult ... -
Use of UAV photogrammetric data for estimation of biophysical properties in forest stands under regeneration
(Peer reviewed; Journal article, 2019)The objective of this study was to assess the use of unmanned aerial vehicle (UAV) data for modelling tree density and canopy height in young boreal forests stands. The use of UAV data for such tasks can be beneficial ... -
Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes
(Journal article; Peer reviewed, 2019-02-16)Ruminant fodder production in agricultural lands in latitudes above the Arctic Circle is constrained by short and hectic growing seasons with a 24-hour photoperiod and low growth temperatures. The use of remote sensing to ...