The data in-between: Ancillary data derived from remote sensing surveys in cemeteries, a case study from Coastal Virginia (United States) :: SCD d'Orléans

The data in-between: Ancillary data derived from remote sensing surveys in cemeteries, a case study from Coastal Virginia (United States)

The data in-between: Ancillary data derived from remote sensing surveys in cemeteries, a case study from Coastal Virginia (United States)

Shranjeno v:

Bibliografske podrobnosti
Auteurs principaux:	Corkum II, Alexander C., Snider, Joseph E. B.
Format:	Article ou chapitre numérique
Jezik:	Français
Izdano:	2025
Online dostop:	Accès Université d'Orléans et IFPM

Podobne knjige/članki

The data in-between: Ancillary data derived from remote sensing surveys in cemeteries, a case study from Coastal Virginia (United States)
od: Corkum II, Alexander, et autres
Izdano: (2025)

Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies
od: Bruno Combal, et autres
Izdano: (2002)

Remote Sensing Data Compression
Izdano: (2022)

Advances in Remote Sensing in Coastal Geomorphology ?
Izdano: (2024)

Remote Sensing Applications in Coastal Environment
Izdano: (2022)

Applications of Remote Sensing in Coastal Areas
Izdano: (2021)

Assimilation of Remote Sensing Data into Earth System Models
od: Calvet, Jean-Christophe, et autres
Izdano: (2021)

Multi-Sensor Systems and Data Fusion in Remote Sensing
Izdano: (2023)

Land surface remote sensing in urban and coastal areas
od: Baghdadi, Nicolas, 1968-
Izdano: (2016)

Coastal Waters Monitoring Using Remote Sensing Technology
Izdano: (2022)

Advances in Remote Sensing of the Inland and Coastal Water Zones
Izdano: (2023)

Chapter Drone remote sensing for coastal habitats protection
od: Piccioli Resta, Giuseppe, et autres
Izdano: (2022)

Satellite Remote Sensing for Ocean and Coastal Environment Monitoring
Izdano: (2026)

Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture
Izdano: (2023)

Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data
od: Marie Weiss, et autres
Izdano: (2002)

Atmospheric conditions at Cerro Armazones derived from astronomical data
od: Maša Lakićević, et autres
Izdano: (2016)

Spatial and temporal fluctuations in sunspots derived from MDI data
od: S. K. Solanki, et autres
Izdano: (2003)

Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management
Izdano: (2023)

Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Izdano: (2022)

New Insights in Crop Monitoring and Management Using Remote Sensing Data
Izdano: (2026)

Remote Sensing Retrievals of Optical Properties in Inland Waters and the Coastal Ocean
Izdano: (2026)

Orbital remote sensing of coastal and offshore environments. A Manual of Interpretation
od: Gierloff-Emden, H. G.
Izdano: (2021)

Remote sensing
od: Khorram, Siamak, et autres
Izdano: (2012)

Remote Sensing
Izdano: (2021)

Remote Sensing
Izdano: (2023)

Remote Sensing
Izdano: (2021)

Sea Surface Temperature Retrievals from Remote Sensing
od: Jorge Vazquez (Ed.), et autres
Izdano: (2021)

From Cemeteries to Luxurious Memorial Parks
od: Salmon, Claudine
Izdano: (2017)

Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
Izdano: (2022)

The fidelity of the core mass functions derived from dust column density data
od: J. Kainulainen, et autres
Izdano: (2009)

Remote Sensing : Theory and Applications
od: Garg, P. K.
Izdano: (2024)

GNSS-R Earth Remote Sensing from SmallSats
Izdano: (2023)

Remote sensing of environment.

Remote sensing of environment.

Photopolarimetry in Remote Sensing
od: Videen, Gorden
Izdano: (2004)

Science of Remote Sensing.

Remote Sensing in Mangroves
Izdano: (2022)

Geoscience and Remote Sensing
Izdano: (2021)

Remote Sensing of the Oceans
Izdano: (2022)

Remote Sensing of Biomass
Izdano: (2021)

© 2021-2023 • Université d'Orléans, Service Commun de Documentation, 6 rue de Tours, 45072 Orléans cedex 2
+33(0) 2 38 41 71 84 • https://scd.univ-orleans.fr • Mentions légales