Dipòsit Digital de Documents de la UAB 71 registres trobats  inicianterior31 - 40següentfinal  anar al registre: La cerca s'ha fet en 0.01 segons. 
31.
16 p, 4.2 MB Spectral diversity successfully estimates the α-diversity of biocrust-forming lichens / Blanco-Sacristán, Javier (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy)) ; Panigada, Cinzia (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy)) ; Tagliabue, Giulia (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy)) ; Gentili, Rodolfo (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy)) ; Colombo, Roberto (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy)) ; Ladrón de Guevara, Mónica (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Maestre, Fernando T. (Universitat d'Alacant. Departament d'Ecologia) ; Rossini, Micol (Università degli Studi di Milano. Laboratorio di Telerilevamento delle Dinamiche Ambientali (Italy))
Biocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity. [...]
2019 - 10.3390/rs11242942
Remote sensing (Basel), Vol. 11, Issue 24 (December 2019) , art. 2942  
32.
14 p, 3.3 MB Spatial and spectral pattern identification for the automatic selection of high-quality MODIS images / Pesquer Mayos, Lluís (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Domingo-Marimon, Cristina (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia)
Remote sensing is providing an increasing number of crucial data about Earth. Systematic revisitation time allows the analysis of long time series as well as imagery utilization in the most interesting moments. [...]
2019 - 10.1117/1.JRS.13.014510
Journal of applied remote sensing, Vol. 13, issue 1 (2019) , art 014510  
33.
16 p, 4.4 MB Oil palm (Elaeis guineensis) mapping with details : smallholder versus industrial plantations and their extent in riau, Sumatra / Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Szantoi, Zoltan (Stellenbosch University) ; Meijaard, Erik (Borneo Future) ; Sutikno, Harsono (Austindo Nusantara Jaya Tbk) ; Rindanata, Guruh (Austindo Nusantara Jaya Tbk) ; Wich, Serge (Liverpool John Moores University. School of Biological and Environmental Sciences)
Oil palm is rapidly expanding in Southeast Asia and represents one of the major drivers of deforestation in the region. This includes both industrial-scale and smallholder plantations, the management of which entails specific challenges, with either operational scale having its own particular social and environmental challenges. [...]
2019 - 10.3390/rs11212590
Remote sensing (Basel), Vol. 11, issue 21 (Nov. 2019) , art. 2590  
34.
18 p, 635.9 KB Compression of hyperspectral scenes through integer-to-integer spectral graph transforms+ / Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Chow, Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Hyperspectral images are depictions of scenes represented across many bands of the electromagnetic spectrum. The large size of these images as well as their unique structure requires the need for specialized data compression algorithms. [...]
2019 - 10.3390/rs11192290
Remote sensing (Basel), Vol. 11, issue 19 (Oct. 2019) , art. 2290  
35.
24 p, 1.2 MB Using predictive and differential methods with K2-Raster compact data structure for hyperspectral image lossless compression / Chow, Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
This paper proposes a lossless coder for real-time processing and compression of hyperspectral images. After applying either a predictor or a differential encoder to reduce the bit rate of an image by exploiting the close similarity in pixels between neighboring bands, it uses a compact data structure called k-raster to further reduce the bit rate. [...]
2019 - 10.3390/rs11212461
Remote sensing (Basel), Vol. 11, Issue 21 (November 2019) , art. 2461  
36.
16 p, 2.4 MB Influence of landscape heterogeneity and spatial resolution in multi-temporal in situ and MODIS NDVI data proxies for seasonal GPP dynamics / Balzarolo, Manuela (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Veroustraete, Frank (University of Antwerp. Department of Bioscience Engineering)
The objective of this paper was to evaluate the use of in situ normalized difference vegetation index (NDVI) and Moderate Resolution Imaging Spectroradiometer NDVI (NDVI) time series data as proxies for ecosystem gross primary productivity (GPP) to improve GPP upscaling. [...]
2019 - 10.3390/rs11141656
Remote sensing (Basel), Vol. 11, issue 14 (July 2019) , art. 1656  
37.
18 p, 4.5 MB Retrieval of high spatiotemporal resolution leaf area index with Gaussian processes, wireless sensor network, and satellite data fusion / Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Qu, Yonghua (Beijing Normal University. Institute of Remote Sensing Science and Engineering) ; Zhao, Wei (Chinese Academy of Sciences. Institute of Mountain Hazards and Environment) ; Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ; Zeng, Yelu (Carnegie Institution for Science (Washington, Estats Units d'Amèrica). Department of Global Ecology) ; Liu, Ke (Sichuan Academy of Agricultural Science. Institute of Remote Sensing Application) ; Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Liu, Qinhuo (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Many applications, including crop growth and yield monitoring, require accurate long-term time series of leaf area index (LAI) at high spatiotemporal resolution with a quantification of the associated uncertainties. [...]
2019 - 10.3390/rs11030244
Remote sensing (Basel), Vol. 11, Issue 3 (February 2019) , art. 244  
38.
19 p, 1.8 MB Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Laparra, Valero (Universitat de Valencia. Laboratori de Processament d'imatges) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Calbet, Xavier (AEMET) ; Camps Valls, Gustau (Universitat de Valencia. Laboratori de Processament d'imatges)
In this paper, we analyze the effect of spatial and spectral compression on the performance of statistically based retrieval. Although the quality of the information is not com- pletely preserved during the coding process, experiments reveal that a certain amount of compression may yield a positive impact on the accuracy of retrievals. [...]
2019 - 10.1109/TGRS.2019.2901396
IEEE transactions on geoscience and remote sensing, Vol. 57, Issue 8 (August 2019) , p. 5651 - 5668  
39.
6 p, 3.2 MB Competitive Segmentation Performance on Near-lossless and Lossy Compressed Remote Sensing Images / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Pinho, Armando J. (University of Aveiro. Signal Processing Laboratory) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Image segmentation lies at the heart of multiple image processing chains, and achieving accurate segmentation is of utmost importance as it impacts later processing. Image segmentation has recently gained interest in the field of remote sensing, mostly due to the widespread availability of remote sensing data. [...]
2019 - 10.1109/LGRS.2019.2934997
IEEE geoscience and remote sensing letters, vol. 17 5 (August 2019)  
40.
10 p, 801.8 KB Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression / Álvarez-Cortés, Sara (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Marcellin, Michael W. (University of Arizona)
Regression wavelet analysis (RWA) is one of the current state-of-the-art lossless compression techniques for remote sensing data. This article presents the first regression-based near-lossless compression method. [...]
2020 - 10.1109/TGRS.2019.2940553
IEEE transactions on geoscience and remote sensing, Vol. 58, Issue 2 (February 2020) , p. 790-798  

Dipòsit Digital de Documents de la UAB : 71 registres trobats   inicianterior31 - 40següentfinal  anar al registre:
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