Nothing Special   »   [go: up one dir, main page]

Laurin et al., 2018 - Google Patents

Early mapping of industrial tomato in Central and Southern Italy with Sentinel 2, aerial and RapidEye additional data

Laurin et al., 2018

View PDF
Document ID
13936938726418735466
Author
Laurin G
Belli C
Bianconi R
Laranci P
Papale D
Publication year
Publication venue
The Journal of Agricultural Science

External Links

Snippet

Timely crop information, ie well before harvesting time and at first stages of crop development, can benefit farmers and producer organizations. The current case study documents the procedure to deliver early data on planted tomato to users, showing the …
Continue reading at pure.mpg.de (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing

Similar Documents

Publication Publication Date Title
Kumar et al. Remote sensing for agriculture and resource management
Vallentin et al. Suitability of satellite remote sensing data for yield estimation in northeast Germany
Fisher et al. Tree‐mycorrhizal associations detected remotely from canopy spectral properties
Sánchez-Azofeifa et al. Monitoring carbon stocks in the tropics and the remote sensing operational limitations: from local to regional projects
Leslie et al. Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production
Mehdaoui et al. Exploitation of the red-edge bands of Sentinel 2 to improve the estimation of durum wheat yield in Grombalia region (Northeastern Tunisia)
Kierdorf et al. GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER
Andreo Remote sensing and geographic information systems in precision farming
Awad et al. Improved capability in stone pine forest mapping and management in Lebanon using hyperspectral CHRIS-Proba data relative to Landsat ETM+
Leolini et al. Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level
Laurin et al. Early mapping of industrial tomato in Central and Southern Italy with Sentinel 2, aerial and RapidEye additional data
Demissie et al. Geospatial solutions for evaluating the impact of the Tigray conflict on farming
Park Estimating plant water stress and evapotranspiration using very-high-resolution (VHR) UAV imagery
Singla et al. Spatiotemporal analysis of LANDSAT Data for Crop Yield Prediction.
Rouze et al. Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones
Bilotta et al. UAV for precision agriculture in vineyards: a case study in Calabria
Upreti et al. Investigating capability of open archive multispectral and SAR datasets for Wheat crop monitoring and acreage estimation studies
Morell-Monzó et al. Detecting abandoned citrus crops using Sentinel-2 time series. A case study in the Comunitat Valenciana region (Spain)
Laurin et al. Postprint version
Capellades et al. Storm damage assessment support service in the US Corn belt using RapidEye satellite imagery
Al-Shammari et al. Combining Sentinel 1, Sentinel 2 and MODIS data for major winter crop type classification over the Murray Darling Basin in Australia
Todoroff et al. Contribution of remote sensing to crop monitoring in tropical zones
Poley Modelling and Mapping Fine-Scale Vegetation Biomass in Banff National Park Using Remotely Sensed Data Collected by Unmanned Aerial Systems
Kibet Assessing field-level maize yield variability in Tanzania using multi-temporal very fine resolution imagery
Trivedi Mapping probabilities of arable fields using modis, sentinel-1 and sentinel-2 based image features in Ghana