Search Results - "Holecz, Francesco"

Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin by Gómez-Escalonilla, Víctor, Vogt, Marie-Louise, Destro, Elisa, Isseini, Moussa, Origgi, Giaime, Djoret, Daira, Martínez-Santos, Pedro, Holecz, Francesco

“…This paper presents a machine learning method to map groundwater potential in crystalline domains. First, a spatially-distributed set of explanatory variables…”
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Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model by Setiyono, Tri, Quicho, Emma, Gatti, Luca, Campos-Taberner, Manuel, Busetto, Lorenzo, Collivignarelli, Francesco, García-Haro, Francisco, Boschetti, Mirco, Khan, Nasreen, Holecz, Francesco

“…Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and…”
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A high-resolution, integrated system for rice yield forecasting at district level by Pagani, Valentina, Guarneri, Tommaso, Busetto, Lorenzo, Ranghetti, Luigi, Boschetti, Mirco, Movedi, Ermes, Campos-Taberner, Manuel, Garcia-Haro, Francisco Javier, Katsantonis, Dimitrios, Stavrakoudis, Dimitris, Ricciardelli, Elisabetta, Romano, Filomena, Holecz, Francesco, Collivignarelli, Francesco, Granell, Carlos, Casteleyn, Sven, Confalonieri, Roberto

“…To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based…”
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Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project by Nelson, Andrew, Setiyono, Tri, Rala, Arnel B, Quicho, Emma D, Raviz, Jeny V, Abonete, Prosperidad J, Maunahan, Aileen A, Garcia, Cornelia A, Bhatti, Hannah Zarah M, Villano, Lorena S

“…Rice is the most important food security crop in Asia. Information on its seasonal extent forms part of the national accounting of many Asian countries…”
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Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index by Campos-Taberner, Manuel, García-Haro, Francisco, Camps-Valls, Gustau, Grau-Muedra, Gonçal, Nutini, Francesco, Busetto, Lorenzo, Katsantonis, Dimitrios, Stavrakoudis, Dimitris, Minakou, Chara, Gatti, Luca, Barbieri, Massimo, Holecz, Francesco, Stroppiana, Daniela, Boschetti, Mirco

“…This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A data on rice cultivated area identified using time series of Sentinel-1A…”
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Impact of Topographic Correction on Estimation of Aboveground Boreal Biomass Using Multi-temporal, L-Band Backscatter by Atwood, Donald K., Andersen, Hans-Erik, Matthiss, Benjamin, Holecz, Francesco

“…Synthetic aperture radar (SAR) has been shown to be a useful tool for estimating aboveground biomass (AGB), due to the strong correlation between the biomass…”
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Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan by Boschetti, Mirco, Nelson, Andrew, Nutini, Francesco, Manfron, Giacinto, Busetto, Lorenzo, Barbieri, Massimo, Laborte, Alice, Raviz, Jeny, Holecz, Francesco, Mabalay, Mary Rose O

“…Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical…”
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Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information by Gumma, Murali Krishna, Tummala, Kimeera, Dixit, Sreenath, Collivignarelli, Francesco, Holecz, Francesco, Kolli, Rao N., Whitbread, Anthony M.

“…Accurate monitoring of croplands helps in making decisions (for insurance claims, crop management and contingency plans) at the macro-level, especially in…”
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Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale by Busetto, Lorenzo, Casteleyn, Sven, Granell, Carlos, Pepe, Monica, Barbieri, Massimo, Campos-Taberner, Manuel, Casa, Raffaele, Collivignarelli, Francesco, Confalonieri, Roberto, Crema, Alberto, Garcia-Haro, Francisco Javier, Gatti, Luca, Gitas, Ioannis Z., Gonzalez-Perez, Alberto, Grau-Muedra, Goncal, Guarneri, Tommaso, Holecz, Francesco, Katsantonis, Dimitrios, Minakou, Chara, Miralles, Ignacio, Movedi, Ermes, Nutini, Francesco, Pagani, Valentina, Palombo, Angelo, Paola, Francesco Di, Pascucci, Simone, Pignatti, Stefano, Rampini, Anna, Ranghetti, Luigi, Ricciardelli, Elisabetta, Romano, Filomena, Stavrakoudis, Dimitris G., Stroppiana, Daniela, Viggiano, Mariassunta, Boschetti, Mirco

“…The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified…”
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Assessing the utility of ALOS PALSAR and SPOT 4 to predict timber volumes in even-aged Eucalyptus plantations located in Zululand, South Africa by Ismail, Riyad, Kassier, Horst, Chauke, Morries, Holecz, Francesco, Hattingh, Nico

“…In commercial forestry, regular terrestrial enumerations of the growing stock are required for the valuation, sustain-able management and planning of current…”
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Automatic Spectral-Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery-Part I: System Design and Implementation by Baraldi, A., Durieux, L., Simonetti, D., Conchedda, G., Holecz, F., Blonda, P.

“…To date, the automatic or semiautomatic transformation of huge amounts of multisource multiresolution spaceborne imagery into information still remains far…”
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Automatic Spectral Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery-Part II: Classification Accuracy Assessment by Baraldi, A., Durieux, L., Simonetti, D., Conchedda, G., Holecz, F., Blonda, P.

“…In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping…”
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Rice Crop Monitoring and Yield Estimation Through Cosmo Skymed and TerraSAR-X: A SAR-Based Experience in India by Pazhanivelan, S., Kannan, P., Christy Nirmala Mary, P., Subramanian, E., Jeyaraman, S., Nelson, A., Setiyono, T., Holecz, F., Barbieri, M., Yadav, M.

“…Rice is the most important cereal crop governing food security in Asia. Reliable and regular information on the area under rice production is the basis of…”
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Automatic Spectral Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 ImageryaPart II: Classification Accuracy Assessment by Baraldi, Andrea, Durieux, Laurent, Simonetti, Dario, Conchedda, Giulia, Holecz, Francesco, Blonda, Palma

“…In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping…”
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Automatic Spectral-Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 ImageryaPart I: System Design and Implementation by Baraldi, Andrea, Durieux, Laurent, Simonetti, Dario, Conchedda, Giulia, Holecz, Francesco, Blonda, Palma

“…To date, the automatic or semiautomatic transformation of huge amounts of multisource multiresolution spaceborne imagery into information still remains far…”
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Corrections to "Automatic Spectral Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery" [Mar 10 1299-1325 and 1326-1354] by Baraldi, A., Durieux, L., Simonetti, D., Conchedda, G., Holecz, F., Blonda, P.

“…In our two-part paper (this issue, pp. 1299-1354), there are two errors which we correct here. The corrected text is presented here…”
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Detection of windthrow in mountainous regions with different remote sensing data and classification methods by Schwarz, M, Steinmeier, C, Holecz, F, Stebler, O, Wagner, H

“…After a disastrous storm event, quick and reliable information on the extent of forest damage is required. This study evaluated different remote sensing data…”
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On the use of temporal-spectral descriptors for crop mapping, monitoring and crop practices characterization by Holecz, Francesco, Gatti, Luca, Collivignarelli, Francesco, Barbieri, Massimo

“…Irrespective if remote sensing data are acquired by active or passive sensors, high or medium resolution, key information is the temporal signature. This is…”
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Estimation of crop extent using multi-temporal PALSAR data by Milisavljevic, N., Holecz, F., Bloch, I., Closson, D., Collivignarelli, F.

“…The aim of the approach proposed in this paper is to determine a potential crop extent prior to the crop season, by determining regions that might change in…”
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Synergetic use of multi-temporal ALOS PALSAR and ENVISAT ASAR data for topographic/land cover mapping and monitoring at national scale in Africa by Holecz, F., Barbieri, M., Cantone, A., Pasquali, P., Monaco, S.

“…The use of Synthetic Aperture Radar (SAR) data in large parts of the African countries, in particular for those close to the equator, is often conditio sine…”
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