Cikkek nyilvánosan hozzáférhető megbízással - Nicholas C CoopsTovábbi információ
Sehol sem hozzáférhető: 53
Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
L Liu, NC Coops, NW Aven, Y Pang
Remote Sensing of Environment 200, 170-182, 2017
Megbízások: Natural Sciences and Engineering Research Council of Canada
Estimation of forest biomass dynamics in subtropical forests using multi-temporal airborne LiDAR data
L Cao, NC Coops, JL Innes, SRJ Sheppard, L Fu, H Ruan, G She
Remote Sensing of Environment 178, 158-171, 2016
Megbízások: National Natural Science Foundation of China
Effects of trees on mean wind, turbulence and momentum exchange within and above a real urban environment
MG Giometto, A Christen, PE Egli, MF Schmid, RT Tooke, NC Coops, ...
Advances in Water Resources 106, 154-168, 2017
Megbízások: Swiss National Science Foundation, Natural Sciences and Engineering Research …
Detection of sub-canopy forest structure using airborne LiDAR
LR Jarron, NC Coops, WH MacKenzie, P Tompalski, P Dykstra
Remote Sensing of Environment 244, 111770, 2020
Megbízások: Natural Sciences and Engineering Research Council of Canada
Boreal Shield forest disturbance and recovery trends using Landsat time series
RJ Frazier, NC Coops, MA Wulder
Remote Sensing of Environment 170, 317-327, 2015
Megbízások: Natural Sciences and Engineering Research Council of Canada
Mapping trees along urban street networks with deep learning and street-level imagery
S Lumnitz, T Devisscher, JR Mayaud, V Radic, NC Coops, VC Griess
ISPRS Journal of Photogrammetry and Remote Sensing 175, 144-157, 2021
Megbízások: Canadian Institutes of Health Research, Genome Canada, Social Sciences and …
Tree species classification in subtropical forests using small-footprint full-waveform LiDAR data
L Cao, NC Coops, JL Innes, J Dai, H Ruan, G She
International journal of applied earth observation and geoinformation 49, 39-51, 2016
Megbízások: National Natural Science Foundation of China
Normalization method for multi-sensor high spatial and temporal resolution satellite imagery with radiometric inconsistencies
N Leach, NC Coops, N Obrknezev
Computers and Electronics in Agriculture 164, 104893, 2019
Megbízások: Natural Sciences and Engineering Research Council of Canada
Estimating urban vegetation fraction across 25 cities in pan-Pacific using Landsat time series data
Y Lu, NC Coops, T Hermosilla
ISPRS Journal of Photogrammetry and Remote Sensing 126, 11-23, 2017
Megbízások: Natural Sciences and Engineering Research Council of Canada
Framework for near real-time forest inventory using multi source remote sensing data
NC Coops, P Tompalski, TRH Goodbody, A Achim, C Mulverhill
Forestry 96 (1), 1-19, 2023
Megbízások: Natural Sciences and Engineering Research Council of Canada
Effect of topographic correction on forest change detection using spectral trend analysis of Landsat pixel-based composites
CM Chance, T Hermosilla, NC Coops, MA Wulder, JC White
International journal of applied earth observation and geoinformation 44 …, 2016
Megbízások: Natural Sciences and Engineering Research Council of Canada
Daily estimates of Landsat fractional snow cover driven by MODIS and dynamic time-warping
EE Berman, DK Bolton, NC Coops, ZK Mityok, GB Stenhouse, ...
Remote Sensing of Environment 216, 635-646, 2018
Megbízások: Natural Sciences and Engineering Research Council of Canada
Generation of a novel 1 km NDVI data set over Canada, the northern United States, and Greenland based on historical AVHRR data
FMA Fontana, NC Coops, KV Khlopenkov, AP Trishchenko, M Riffler, ...
Remote Sensing of Environment 121, 171-185, 2012
Megbízások: Swiss National Science Foundation
Quantifying vertical profiles of biochemical traits for forest plantation species using advanced remote sensing approaches
X Shen, L Cao, NC Coops, H Fan, X Wu, H Liu, G Wang, F Cao
Remote Sensing of Environment 250, 112041, 2020
Megbízások: National Natural Science Foundation of China
Digital aerial photogrammetry for assessing cumulative spruce budworm defoliation and enhancing forest inventories at a landscape-level
TRH Goodbody, NC Coops, T Hermosilla, P Tompalski, G McCartney, ...
ISPRS Journal of Photogrammetry and Remote Sensing 142, 1-11, 2018
Megbízások: Natural Sciences and Engineering Research Council of Canada
Assessing variability in post‐fire forest structure along gradients of productivity in the Canadian boreal using multi‐source remote sensing
DK Bolton, NC Coops, T Hermosilla, MA Wulder, JC White
Journal of biogeography 44 (6), 1294-1305, 2017
Megbízások: Natural Sciences and Engineering Research Council of Canada
Multi-scale analysis of relationship between imperviousness and urban tree height using airborne remote sensing
AA Plowright, NC Coops, CM Chance, SRJ Sheppard, NW Aven
Remote Sensing of Environment 194, 391-400, 2017
Megbízások: Natural Sciences and Engineering Research Council of Canada
Barren‐ground caribou (Rangifer tarandus groenlandicus) behaviour after recent fire events; integrating caribou telemetry data with Landsat fire detection techniques
GJM Rickbeil, T Hermosilla, NC Coops, JC White, MA Wulder
Global Change Biology 23 (3), 1036-1047, 2017
Megbízások: Natural Sciences and Engineering Research Council of Canada
Assessing urban tree condition using airborne light detection and ranging
AA Plowright, NC Coops, BNI Eskelson, SRJ Sheppard, NW Aven
Urban Forestry & Urban Greening 19, 140-150, 2016
Megbízások: Natural Sciences and Engineering Research Council of Canada
Comparing tree attributes derived from quantitative structure models based on drone and mobile laser scanning point clouds across varying canopy cover conditions
Y Qi, NC Coops, LD Daniels, CR Butson
ISPRS Journal of Photogrammetry and Remote Sensing 192, 49-65, 2022
Megbízások: Natural Sciences and Engineering Research Council of Canada
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