Sentinel-2 optical high resolution mission for GMES operational services

Martimor, P.; Arino, Olivier; Berger, M.; Biasutti, Roberto; Carnicero, B.; Bello, Umberto Del; Fernandez, Valérie; Gascon, Ferran; Silvestrin, Pierluigi; Spoto, François; Sy, Omar

doi:10.1109/igarss.2007.4423394

Cited by 43 publications

(40 citation statements)

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“…On the other hand, satellites with global coverage and high revisit (1 or 2 images/day) have typically a coarse spatial resolution (AVHRR, NOAA, 1 km, and MODIS, 250 m-1 km) or are also affected by the problem of varying viewing angle. Fortunately, with the continuous technological advances, new missions are available now such as FORMOSAT-2 launched in 2004 (http:// www.spotimage.fr/web/944-images-formosat-2.php) or are planned in the near future such as Venµs and Sentinel-2 (Martimort et al, 2007). The design of these new sensors allows now to provide both high spatial resolution (∼10 m) and frequent revisit time (few days) very appropriate both to the field scale and time step of agricultural practice variability.…”

Section: Introductionmentioning

confidence: 99%

Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region

Courault

Hadria²,

Ruget³

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. The aim of this study is to propose methods to improve crop and water management in Mediterranean regions. At landscape scale, there is a spatial variability of agricultural practices, particularly for grasslands irrigated by flooding. These grasslands are harvested three times per year and produce high quality hay, but their productions decreased significantly during the last few years because of the water scarcity. It is therefore important to assess the real water requirement for crops in order to predict productions in the case of agricultural practice modifications. Until now, the spatial variability of agricultural practices was obtained through surveys from farmers, but this method was tedious to describe an entire region. Thus, the specific aim of the study is to develop and assess a new method based on a crop model for estimating water balance and crop yield constrained by products derived from optical remote sensing data with high spatio-temporal resolution.A methodology, based on the combined use of FORMOSAT-2 images and the STICS crop model, was developed to estimate production, evapotranspiration and drainage of irrigated grasslands in "the Crau" region in the South Eastern France. Numerous surveys and ground measurements were performed during an experiment conducted in 2006. Simple algorithms were developed to retrieve the dynamic of Leaf Area Index (LAI) for each plot and the main agricultural practices such as mowing and irrigation dates. These variables computed from remote sensing were then used to parameterize STICS, applied at region scale to estimate the spatial variability of water budget associated with the biomass productions. Results are displayed at the farm Correspondence to: D. Courault (courault@avignon.inra.fr) scale. Satisfactory results were obtained when compared to ground measurements. The method for the extrapolation to other regions or crops is discussed as regard to data available.

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Section: Introductionmentioning

confidence: 99%

Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region

Courault

Hadria²,

Ruget³

et al. 2010

Hydrol. Earth Syst. Sci.

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“…The spectral and spatial resolution of the two satellite products are similar [40], and it is estimated that a classification method for burned areas mapping, developed using SPOT-4 HRVIR images, could possibly be used with Sentinel-2 images.…”

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confidence: 99%

“…• Given the forthcoming launch of the Sentinel-2 mission, which is designed for the data continuity of SPOT-type missions [40], an investigation on the use of SPOT-4 HRVIR images for burned area mapping could indicate the potential of the Sentinel-2 data in this field. The spectral and spatial resolution of the two satellite products are similar [40], and it is estimated that a classification method for burned areas mapping, developed using SPOT-4 HRVIR images, could possibly be used with Sentinel-2 images.…”

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confidence: 99%

Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis

Polychronaki

Gitas

2012

Remote Sensing

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Abstract:The devastating series of fire events that occurred during the summers of 2007 and 2009 in Greece made evident the need for an operational mechanism to map burned areas in an accurate and timely fashion to be developed. In this work, Système pour l'Observation de la Terre (SPOT)-4 HRVIR images are introduced in an object-based classification environment in order to develop a classification procedure for burned area mapping. The development of the procedure was based on two images and then tested for its transferability to other burned areas. Results from the SPOT-4 HRVIR burned area mapping showed very high classification accuracies (~0.86 kappa coefficient), while the object-based classification procedure that was developed proved to be transferable when applied to other study areas.

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“…The high spatial resolution, wide FOV, and broad spectral coverage of S2 are designed to map land use and land cover (LULC), as well as change detection, geophysical variables (i.e., LCC, LAI) mapping, and risk, such as forest insect detection. S2 imagery has a high quality of geometry and radiation [62]. The Level 1C product is geo-coded with a sub-pixel registration accuracy for users and provides the top of the atmosphere (TOA) reflectance [62].…”

Section: Sentinel 2a Images and Processingmentioning

confidence: 99%

Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation

Qiu

Huang

et al. 2018

Remote Sensing

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Yunnan pine shoot beetles (PSB), Tomicus yunnanensis and Tomicus minor have spread through southwestern China in the last five years, leading to millions of hectares of forest being damaged. Thus, there is an urgent need to develop an effective approach for accurate early warning and damage assessment of PSB outbreaks. Remote sensing is one of the most efficient methods for this purpose. Despite many studies existing on the mountain pine beetle (MPB), very little work has been undertaken on assessing PSB stress using remote sensing. The objective of this paper was to develop a spectral linear mixing model aided by radiative transfer (RT) and a new Yellow Index (YI) to simulate the reflectance of heterogeneous canopies containing damaged needles and quantitatively inverse their PSB stress. The YI, the fraction of dead needles, is a physically-explicit stress indicator that represents the plot shoots damage ratio (plot SDR). The major steps of this methods include: (1) LIBERTY2 was developed to simulate the reflectance of damaged needles using YI to linearly mix the green needle spectra with the dead needle spectra; (2) LIBERTY2 was coupled with the INFORM model to scale the needle spectra to the canopy scale; and (3) a look-up table (LUT) was created against Sentinel 2 (S2) imagery and inversed leaf chlorophyll content (LCC), green leaf area index (LAI) and plot SDR. The results show that (1) LIBERTY2 effectively simulated the reflectance spectral values on infested needles (mean relative error (MRE) = 1.4-18%), and the YI can indicate the degrees of needles damage; (2) the coupled LIBERTY2-INFORM model is suitable to estimate LAI (R 2 = 0.73, RMSE = 0.17 m m −2 , NRMSE = 11.41% and the index of agreement (IOA) = 0.92) and LCC (R 2 = 0.49, RMSE = 56.24 mg m −2 , NRMSE = 25.22% and IOA = 0.72), and is better than the original LIBERTY model (LAI: R 2 = 0.38, RMSE = 0.43 m m −2 , NRMSE = 28.85% and IOA = 0.68; LCC: R 2 = 0.34, RMSE = 76.44 mg m −2 , NRMSE = 34.23% and IOA = 0.57); and (3) the inversed YI is positively correlated with the measured plot SDR (R 2 = 0.40, RMSE = 0.15). We conclude that the LIBERTY2 model improved the reflectance simulation accuracy of both the needles and canopies, making it suitable for assessing PSB stress. The YI has the potential to assess PSB damage.

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Sentinel-2 optical high resolution mission for GMES operational services

Cited by 43 publications

References 0 publications

Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region

Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region

Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis

Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation

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