C. Tarantino

P. Blonda, G. Satalino, C. Tarantino, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park

Maria Adamo, Palma Blonda, Mattia Santoro, 2021, Remote. Sens..

Definition and application of expert knowledge on vegetation pattern, phenology, and seasonality for habitat mapping, as exemplified in a Mediterranean coastal site

H. Nagendra, P. Blonda, C. Tarantino, 2017 .

Comparing the performance of flat and hierarchical Habitat/Land-Cover classification models in a NATURA 2000 site

Palma Blonda, Cristina Tarantino, Valeria Tomaselli, 2018 .

Towards Operational Detection of Forest Ecosystem Changes in Protected Areas

Richard M. Lucas, Palma Blonda, Stefano Nativi, 2016, Remote. Sens..

Earth Observation Data for Habitat Monitoring ( EODHaM ) system

Damien Arvor, Caspar A. Mücher, Rob H. G. Jongman, 2014 .

Time Series of Land Cover Mappings Can Allow the Evaluation of Grassland Protection Actions Estimated by Sustainable Development Goal 15.1.2 Indicator: The Case of Murgia Alta Protected Area

C. Tarantino, M. Adamo, Mariella Aquilino, 2023, Remote. Sens..

Change Detection in (Semi-) Natural Grassland Ecosystems for Biodiversity Monitoring Using Open Data

Richard M. Lucas, Maria Adamo, Palma Blonda, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

An application of the cross-correlation analysis to detect changes in semi-natural grasslands to artificial structures using very high and high resolution satellite data

Maria Adamo, Palma Blonda, Cristina Tarantino, 2016, 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS).

Assessing the relative importance of managed crops and semi-natural grasslands as foraging habitats for breeding lesser kestrels Falco naumanni in southeastern Italy

P. Blonda, C. Tarantino, M. Griggio, 2021, Wildlife Biology.

Long-term change monitoring of natural grasslands ecosystem in support of SDG 15.3.1

P. Blonda, C. Tarantino, M. Adamo, 2020 .

Expert knowledge for translating land cover/use maps to General Habitat Categories (GHC)

Caspar A. Mücher, Richard M. Lucas, Vasiliki Kosmidou, 2014, Landscape Ecology.

Improvement of a Dasymetric Method for Implementing Sustainable Development Goal 11 Indicators at an Intra-Urban Scale

Maria Adamo, Palma Blonda, Angela Barbanente, 2021, Remote. Sens..

Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local Scale: Monitoring of the Migrant Population Distribution

Maria Adamo, Palma Blonda, Cristina Tarantino, 2020, Remote. Sens..

Land cover to habitat map conversion using remote sensing data: A supervised learning approach

Tania Stathaki, Zisis I. Petrou, Ioannis Manakos, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Satellite Earth observation data to identify anthropogenic pressures in selected protected areas

Caspar A. Mücher, Richard M. Lucas, Ioannis Manakos, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Remote sensed data for automatic detection of land-use changes due to human activity in support to landslide studies

Palma Blonda, Guido Pasquariello, Cristina Tarantino, 2007 .

Satellite monitoring of bio-fertilizer restoration in olive groves affected by Xylella fastidiosa subsp. pauca

P. Blonda, C. Tarantino, S. Maggi, 2023, Scientific Reports.

Sentinel-2 Remote Sensed Image Classification with Patchwise Trained ConvNets for Grassland Habitat Discrimination

Maria Adamo, Palma Blonda, Cristina Tarantino, 2021, Remote. Sens..

Earth observations for complementing vegetation definition and distribution: An example for fire propagation

P. Blonda, N. Grammalidis, K. Dimitropoulos, 2011, 2011 2nd International Conference on Space Technology.

Importance of landscape features and Earth observation derived habitat maps for modelling amphibian distribution in the Alta Murgia National Park

P. Blonda, C. Tarantino, G. Ficetola, 2015, Int. J. Appl. Earth Obs. Geoinformation.

RBF network with two-stage supervised learning: an application

P. Blonda, C. Tarantino, A. Baraldi, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

The Earth Observation Data for Habitat Monitoring (EODHaM) system

C. A. Mücher, P. Blonda, J. Honrado, 2015, International Journal of Applied Earth Observation and Geoinformation.

Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park

F. Diele, P. Blonda, C. Tarantino, 2023, Scientific reports.

Comparing the performance of flat and hierarchical habitat/land-cover classification models in a 2 NATURA 2000 site. 3

Charles J. Marsh, P. Blonda, C. Tarantino, 2019 .

A rule-based classification methodology to handle uncertainty in habitat mapping employing evidential reasoning and fuzzy logic

Tania Stathaki, Maria Petrou, Vasiliki Kosmidou, 2014, Pattern Recognit. Lett..

Neural network ensemble and support vector machine classifiers for the analysis of remotely sensed data: a comparison

Palma Blonda, Annarita D'Addabbo, Nicola Ancona, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Combined use of expert knowledge and earth observation data for the land cover mapping of an Italian grassland area: An EODHaM system application

Richard M. Lucas, Maria Adamo, Palma Blonda, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Improved method for discriminating agricultural crops using geostatistics and remote sensing

Bruno Basso, Guido Pasquariello, Cristina Tarantino, 2011 .

Very high resolution Earth observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas

R. Didham, H. Nagendra, C. Tarantino, 2015, Int. J. Appl. Earth Obs. Geoinformation.