Remote Sensing of Environment
Journal
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Overview
publication venue for
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The spatio-temporal patterns of landfast ice in Antarctica during 2006-2011 and 2016-2017 using high-resolution SAR imagery.
242:111736-111736.
2020
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Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm.
232:111181-111181.
2019
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Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches.
226:109-124.
2019
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Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar
2019
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Effects of landscape fragmentation on land loss.
209:253-262.
2018
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Improving MODIS snow products with a HMRF-based spatio-temporal modeling technique in the Upper Rio Grande Basin.
204:568-582.
2018
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Detection of the spatiotemporal patterns of beetle-induced tamarisk (Tamarix spp.) defoliation along the Lower Rio Grande using Landsat TM images.
193:76-85.
2017
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Variability of salt flux in the Indian Ocean during 1960-2008.
134:175-193.
2013
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A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery.
121:370-388.
2012
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Multispectral remote-sensing algorithms for particulate organic carbon (POC): The Gulf of Mexico.
113:50-61.
2009
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Snow optical properties for different particle shapes with application to snow grain size retrieval and MODIS/CERES radiance comparison over Antarctica.
112:3563-3581.
2008
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Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies.
112:430-444.
2008
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Fuzzy learning vector quantization for hyperspectral coastal vegetation classification.
100:512-530.
2006
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Multispectral imaging contributions to global land ice measurements from space.
99:187-219.
2005
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Validation of daily MODIS snow cover maps of the Upper Rio Grande River Basin for the 2000-2001 snow year.
86:162-176.
2003
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Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States.
85:507-515.
2003
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Detection of snow cover using millimeter-wave imaging radiometer (MIR) data.
68:53-60.
1999
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Assessment of snow-cover mapping accuracy in a variety of vegetation-cover densities in central Alaska.
66:129-137.
1998
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AIRCRAFT LASER SENSING OF SOUND-VELOCITY IN WATER - BRILLOUIN-SCATTERING.
36:165-178.
1991
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SOIL BACKGROUND EFFECTS ON THE SPECTRAL RESPONSE OF A 3-COMPONENT RANGELAND SCENE.
19:127-137.
1986
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ASSESSMENT OF GRASSLAND PHYTOMASS WITH AIRBORNE VIDEO IMAGERY.
20:299-306.
1986
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EVALUATING NEAR-SURFACE SOIL-MOISTURE USING HEAT-CAPACITY MAPPING MISSION DATA.
12:117-121.
1982
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HCMM DETECTION OF HIGH SOIL-MOISTURE AREAS.
11:73-76.
1981
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Evaluating soil moisture and yield of winter wheat in the Great Plains using Landsat data.
6:315-326.
1977
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Thermal scanner measurement of canopy temperatures to estimate evapotranspiration.
5:137-145.
1976
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A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data.
114:576-591.
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A voxel-based lidar method for estimating crown base height for deciduous and pine trees.
112:767-781.
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Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR.
241:111729-111729.
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Assessing the agreement of ICESat-2 terrain and canopy height with airborne lidar over US ecozones.
266:112711-112711.
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Bayesian decomposition of full waveform LiDAR data with uncertainty analysis.
200:43-62.
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Characterization of canopy fuels using ICESat/GLAS data.
123:81-89.
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Characterizing canopy cover with ICESat-2: A case study of southern forests in Texas and Alabama, USA.
281:113242-113242.
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Characterizing forest canopy structure with lidar composite metrics and machine learning.
115:1978-1996.
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Characterizing vegetation cover in global savannas with an annual foliage clumping index derived from the MODIS BRDF product.
115:2008-2024.
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Detecting and quantifying standing dead tree structural loss with reconstructed tree models using voxelized terrestrial lidar data.
209:52-65.
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Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data.
224:1-11.
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Fusion of lidar and multispectral data to quantify salt marsh carbon stocks.
154:345-357.
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How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?.
280:113174-113174.
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Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection.
132:102-119.
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Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data.
238:111018-111018.
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Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers.
113:182-196.
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Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA.
113:1628-1645.
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Mapping surface fuel models using lidar and multispectral data fusion for fire behavior.
112:274-285.
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Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04.
112:415-429.
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Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future.
256:112313-112313.
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Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data.
208:154-170.
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Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia.
112:2018-2032.
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Satellite lidar vs. small footprint airborne lidar: Comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level.
115:2786-2797.
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Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices.
190:96-106.
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Temporal dynamics of PSR-based soil moisture across spatial scales in an agricultural landscape during SMEX02: A wavelet approach.
112:522-534.
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The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation.
190:260-273.
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SMEX02: Field scale variability, time stability and similarity of soil moisture
Identity
International Standard Serial Number (ISSN)