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You searched for: Journal ISPRS journal of photogrammetry and remote sensing Remove constraint Journal: ISPRS journal of photogrammetry and remote sensing Publication Year 2014 Remove constraint Publication Year: 2014 Source 2014 v.91 Remove constraint Source: 2014 v.91
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1. A simple two-band semi-analytical model for retrieval of specific absorption coefficients in coastal waters

Author:
Chen, Jun; Cui, Tingwei; Qiu, Zhongfeng; Lin, Changsong
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 85-97
ISSN:
0924-2716
Subject:
absorption; coastal water; models; uncertainty; Florida; Yellow Sea
Abstract:
... A non-linear iterative method is used to replace the traditional spectral slope technique in initializing the total absorption decomposition model. Based on comparison of absorption coefficient by QAA and two-band semi-analytical model (TSAA) models with field measurements collected from the West Florida Shelf waters and Bohai Sea, it is shown that both models are effective in estimating absorptio ...
DOI:
10.1016/j.isprsjprs.2014.01.002

2. Different units of measurement of carotenoids estimation in cotton using hyperspectral indices and partial least square regression

Author:
Yi, Qiuxiang; Jiapaer, Guli; Chen, Jingming; Bao, Anming; Wang, Fumin
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 72-84
ISSN:
0924-2716
Subject:
canopy; carotenoids; cotton; data collection; growing season; leaf area; least squares; leaves; model validation; prediction; reflectance; soil; surface area; vegetation index; wavelengths
Abstract:
... This paper examines the use of canopy reflectance for different units of measurements of carotenoids estimation. Field spectral measurements were collected over cotton in different intensive field campaigns organized during the growing seasons of 2010 and 2011. Three units of measurement were evaluated carotenoids expressed as a mass per unit soil surface area (g/m²), a mass per unit leaf area (μg ...
DOI:
10.1016/j.isprsjprs.2014.01.004

3. Empirical comparison of noise reduction techniques for NDVI time-series based on a new measure

Author:
Michishita, Ryo; Jin, Zhenyu; Chen, Jin; Xu, Bing
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 17-28
ISSN:
0924-2716
Subject:
geometry; lakes; land cover; moderate resolution imaging spectroradiometer; normalized difference vegetation index; time series analysis; China
Abstract:
... This study empirically compared noise reduction techniques for the normalized difference vegetation index (NDVI) time-series based on a new absolute measure using a time-series of 16-day composite NDVI images extracted from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) products covering the Poyang Lake area in China. We proposed an approach to accurately extract representative ND ...
DOI:
10.1016/j.isprsjprs.2014.01.003

4. Levee crest elevation profiles derived from airborne lidar-based high resolution digital elevation models in south Louisiana

Author:
Palaseanu-Lovejoy, Monica; Thatcher, Cindy A.; Barras, John A.
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 114-126
ISSN:
0924-2716
Subject:
United States Army Corps of Engineers; automation; basins; digital elevation models; geometry; lidar; surveys; uncertainty; Louisiana
Abstract:
... This study explores the feasibility of using airborne lidar surveys to construct high-resolution digital elevation models (DEMs) and develop an automated procedure to extract levee longitudinal elevation profiles for both federal levees in Atchafalaya Basin and local levees in Lafourche Parish, south Lousiana. This approach can successfully accommodate a high degree of levee sinuosity and abrupt c ...
DOI:
10.1016/j.isprsjprs.2014.02.010

5. L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry

Author:
Sun, Yanbiao; Zhao, Liang; Huang, Shoudong; Yan, Lei; Dissanayake, Gamini
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 1-16
ISSN:
0924-2716
Subject:
aerial photogrammetry; algorithms; data collection; image analysis; remote sensing
Abstract:
... The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments. First, a Block-SIFT method is designed to overcome the memory limitation of SIFT for extracting and matching features from large photogrammetric images. For each pair of images, the original large image is split into blocks and the ...
DOI:
10.1016/j.isprsjprs.2014.02.001

6. Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010

Author:
Gumma, Murali Krishna; Thenkabail, Prasad S.; Maunahan, Aileen; Islam, Saidul; Nelson, Andrew
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 98-113
ISSN:
0924-2716
Subject:
agricultural productivity; cropland; decision making; drought; food security; image analysis; irrigation; land use; moderate resolution imaging spectroradiometer; normalized difference vegetation index; plant establishment; rice; salinity; seasonal variation; staple foods; statistics; Bangladesh
Abstract:
... Rice is the most consumed staple food in the world and a key crop for food security. Much of the world’s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use products. Agricultural practices and investments vary by season due to the different challenges faced, suc ...
DOI:
10.1016/j.isprsjprs.2014.02.007

7. MELISSA, a new class of ground based InSAR system. An example of application in support to the Costa Concordia emergency

Author:
Broussolle, Joan; Kyovtorov, Vladimir; Basso, Marco; Ferraro Di Silvi E Castiglione, Guido; Figueiredo Morgado, Jorge; Giuliani, Raimondo; Oliveri, Franco; Sammartino, Pier Francesco; Tarchi, Dario
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 50-58
ISSN:
0924-2716
Subject:
deformation; interferometry; monitoring; remote sensing; synthetic aperture radar
Abstract:
... Ground Based Interferometric Synthetic Aperture Radars (GB-InSAR) have proved to be fully operational tools for the monitoring of ground displacement and structural deformation. The main limiting factor of the existing systems is the time to acquire a single image, typically ranging from few seconds to few minutes. This paper presents the validation and the operational use of a new system – Mimo E ...
DOI:
10.1016/j.isprsjprs.2014.02.003

8. On accurate dense stereo-matching using a local adaptive multi-cost approach

Author:
Stentoumis, C.; Grammatikopoulos, L.; Kalisperakis, I.; Karras, G.
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 29-49
ISSN:
0924-2716
Subject:
color; data collection; digital images; normal distribution; remote sensing
Abstract:
... Defining pixel correspondences among images is a fundamental process in fully automating image-based 3D reconstruction. In this contribution, we show that an adaptive local stereo-method of high computational efficiency may provide accurate 3D reconstructions under various scenarios, or even outperform global optimizations. We demonstrate that census matching cost on image gradients is more robust ...
DOI:
10.1016/j.isprsjprs.2014.02.006

9. Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data

Author:
Hasan, Sayeh; Montzka, Carsten; Rüdiger, Christoph; Ali, Muhammad; R. Bogena, Heye; Vereecken, Harry
Source:
ISPRS journal of photogrammetry and remote sensing 2014 v.91 pp. 59-71
ISSN:
0924-2716
Subject:
Soil Moisture and Ocean Salinity satellite; absorption; altitude; biosphere; canopy; coniferous forests; data collection; deciduous forests; emissions; grasses; leaf area index; models; polarimetry; population characteristics; soil water; temperature; vegetation cover; watersheds; Germany
Abstract:
... For the soil moisture retrieval from passive microwave sensors, such as ESA’s Soil Moisture and Ocean Salinity (SMOS) and the NASA Soil Moisture Active and Passive (SMAP) mission, a good knowledge about the vegetation characteristics is indispensable. Vegetation cover is a principal factor in the attenuation, scattering and absorption of the microwave emissions from the soil; and has a direct impa ...
DOI:
10.1016/j.isprsjprs.2014.02.005