U.S. flag

An official website of the United States government

PubAg

Main content area

You searched for: Journal International journal of remote sensing Remove constraint Journal: International journal of remote sensing Publication Year 2015 Remove constraint Publication Year: 2015 Source 2015 v.36 no.22 Remove constraint Source: 2015 v.36 no.22
Start Over

Search

11  Search Results

1 - 11 of 11
Number of results to display per page

Search Results

1. An evaluation of satellite-based drought indices on a regional scale

Author:
Sur, Chanyang; Hur, Jiwon; Kim, Kyoungjun; Choi, Woojung; Choi, Minha
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5593-5612
ISSN:
1366-5901
Subject:
atmospheric precipitation; drought; microwave radiometers; moderate resolution imaging spectroradiometer; remote sensing; satellites; soil water; topography; South Korea
Abstract:
... We compared conventional and satellite-based drought indices from drought vulnerable sites in South Korea during 2004–2013. Satellite-based drought indices, the energy-based water deficit index (EWDI), and the standalone Moderate Resolution Imaging Spectroradiometer (MODIS)-based evaporative stress index (stMOD_ESI) were evaluated using MODIS imagery to assess its capability to analyse the complex ...
DOI:
10.1080/01431161.2015.1101653

2. A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data

Author:
Widhalm, Barbara; Bartsch, Annett; Heim, Birgit
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5537-5556
ISSN:
1366-5901
Subject:
biological assessment; carbon; climate models; data collection; ecosystems; plant communities; remote sensing; roughness; satellites; soil water; soil water content; synthetic aperture radar; treeline; tundra; vegetation structure; wetlands; wildlife habitats; Arctic region
Abstract:
... A circumpolar representative and consistent wetland map is required for a range of applications ranging from upscaling of carbon fluxes and pools to climate modelling and wildlife habitat assessment. Currently available data sets lack sufficient accuracy and/or thematic detail in many regions of the Arctic. Synthetic aperture radar (SAR) data from satellites have already been shown to be suitable ...
DOI:
10.1080/01431161.2015.1101505
PubMed:
27019539
PubMed Central:
PMC4786860

3. A study of urban expansion of prefectural-level cities in South China using night-time light images

Author:
Liu, Lu; Leung, Yee
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5557-5575
ISSN:
1366-5901
Subject:
cities; land use; remote sensing; satellites; thematic maps; time series analysis; urban areas; urbanization; China
Abstract:
... Because of its rapid economic development, China has been undergoing a dramatic urbanization process in recent decades. Such a process can be reflected by urban expansion, which can be represented by the change in urban built-up areas. In the literature, very little has been discussed on the extraction of built-up areas with a high frequency of acquisition for a large region. This article introduc ...
DOI:
10.1080/01431161.2015.1101650

4. Distorted spatial warping to compress large, high-resolution rasters for remote-sensing classification

Author:
Mueller-Warrant, George W.; Whittaker, Gerald W.
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5664-5689
ISSN:
1366-5901
Subject:
Landsat; nesting; remote sensing; riparian buffers; society; Oregon
Abstract:
... Decisions made early in the data preparation phases of remote-sensing classification projects set fundamental limits on the value to society of the final products. The often-used approach of degrading/down-sampling high-resolution (e.g. 1 m pixel size) imagery to match lower-resolution data (e.g. Landsat 30 m) through averaging or majority-rule solves the problem of aligning pixels across bands of ...
DOI:
10.1080/01431161.2015.1103917

5. High-precision surface-level CO2 and CH4 using off-axis integrated cavity output spectroscopy (OA-ICOS) over Shadnagar, India

Author:
Mahesh, P.; Sreenivas, G.; Rao, P.V.N.; Dadhwal, V.K.; Sai Krishna, S.V.S.; Mallikarjun, K.
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5754-5765
ISSN:
1366-5901
Subject:
carbon dioxide; case studies; certification; diurnal variation; emissions; gases; greenhouse gases; methane; mixing; model validation; remote sensing; seasonal variation; spectroscopy; temperature; wind speed; India
Abstract:
... An enhanced performance model of the greenhouse gas analyser (GGA) instrument from Los Gatos Research (LGR), which uses off-axis integrated cavity output spectroscopy (OA-ICOS) technology to obtain highly precise and accurate measurements, has been installed at the National Remote Sensing Center (NRSC), Shadnagar with the objective of generating a long-term record of measurements conforming to sta ...
DOI:
10.1080/01431161.2015.1104744

6. Observation of submarine sand waves using ASTER stereo sun glitter imagery

Author:
Yang, Kang; Zhang, Huaguo; Fu, Bin; Zheng, Gang; Guan, Weibing; Shi, Aiqin; Li, Dongling
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5576-5592
ISSN:
1366-5901
Subject:
Advanced Spaceborne Thermal Emission and Reflection Radiometer; image analysis; remote sensing; sand; satellites; simulation models; topography
Abstract:
... Signatures of sun glitter images strongly depend on the viewing angle. Stereo observation can provide more valuable information than observation from one angle. In this work, the sun glitter patterns caused by submarine sand waves were studied using stereo images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which operates a high spatial resolution (15 m) optical ...
DOI:
10.1080/01431161.2015.1101652

7. Potential of Dubois model for soil moisture retrieval in prairie areas using SAR and optical data

Author:
Bai, Xiaojing; He, Binbin
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5737-5753
ISSN:
1366-5901
Subject:
correlation; leaf area index; models; normalized difference vegetation index; prairies; remote sensing; soil water; surface roughness; synthetic aperture radar; water content; China
Abstract:
... Soil moisture retrieval is often confounded by the influence of vegetation and surface roughness on the backscattered radar signal in vegetated areas. In this study, a semi-empirical methodology is proposed to retrieve soil moisture in prairie areas. The effect of vegetation is eliminated by the ratio vegetation method and water cloud model (WCM), respectively. The conditions of vegetation are cha ...
DOI:
10.1080/01431161.2015.1103920

8. Quantifying characteristic growth dynamics in a semi-arid grassland ecosystem by predicting short-term NDVI phenology from daily rainfall: a simple four parameter coupled-reservoir model

Author:
Hermance, John F.; Augustine, David J.; Derner, Justin D.
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5637-5663
ISSN:
1366-5901
Subject:
aboveground biomass; algorithms; climate; correlation; drought; ecosystems; grasses; growing season; leaves; meteorological data; models; moderate resolution imaging spectroradiometer; nitrogen; normalized difference vegetation index; phenology; prediction; rain; remote sensing; roots; satellites; soil water; stakeholders; steppes; summer; temporal variation; transpiration; warm season; water uptake; North America
Abstract:
... Predicting impacts on phenology of the magnitude and seasonal timing of rainfall pulses in water-limited grassland ecosystems concerns ecologists, climate scientists, hydrologists, and a variety of stakeholders. This report describes a simple, effective procedure to emulate the seasonal response of grassland biomass, represented by the satellite-based normalized difference vegetation index (NDVI), ...
DOI:
10.1080/01431161.2015.1103916

9. The application of ensemble techniques for land-cover classification in arid lands

Author:
Halmy, Marwa Waseem A.; Gessler, Paul E.
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5613-5636
ISSN:
1366-5901
Subject:
arid lands; artificial intelligence; land classification; land cover; land use; landscapes; neural networks; remote sensing; spectral analysis; thematic maps; Egypt
Abstract:
... Robust classification approaches are required for accurate classification of complex land-use/land-cover categories of desert landscapes using remotely sensed data. Machine-learning ensemble classifiers have proved to be powerful for the classification of remotely sensed data. However, they have not been evaluated for classifying land-cover categories in desert regions. In this study, the performa ...
DOI:
10.1080/01431161.2015.1103915

10. The relationship between land-surface temperature and rice quality in Tottori prefecture, Japan

Author:
Kimura, Reiji; Moriyama, Masao; Bandou, Satoru
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5690-5706
ISSN:
1366-5901
Subject:
air temperature; lowlands; moderate resolution imaging spectroradiometer; remote sensing; rice; ripening; summer; Japan
Abstract:
... Numerous studies have suggested that rice quality in Japan is affected by high temperatures during the ripening period, especially in summer. On the assumption that land-surface temperature (LST) can be substituted for air temperature, we examined rice quality using LST satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) during the ripening stage (August) in Tottori prefe ...
DOI:
10.1080/01431161.2015.1104741

11. Use of GRACE time-variable data and GLDAS-LSM for estimating groundwater storage variability at small basin scales: a case study of the Nzoia River Basin

Author:
Ouma, Yashon O.; Aballa, D.O.; Marinda, D.O.; Tateishi, R.; Hahn, M.
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5707-5736
ISSN:
1366-5901
Subject:
basins; stream flow; groundwater recharge; equations; water management; data collection; models; aquifers; watersheds; rain; gravity; satellites; remote sensing; case studies; groundwater; climate; water table; Kenya
Abstract:
... This study integrates time-variable Gravity Recovery and Climate Experiment (GRACE) gravimetric measurements and Global Land Data Assimilation System (GLDAS) land surface models (LSM) in order to understand the inter-annual variations and groundwater storage changes (GWSC) in the Nzoia River Basin in Kenya, using the water balance equation and parameters. From averaged GRACE and GWSC data, the res ...
DOI:
10.1080/01431161.2015.1104743