Log in

Relevant bibliographies by topics / Iperspettrale / Journal articles

To see the other types of publications on this topic, follow the link: Iperspettrale.

Journal articles on the topic 'Iperspettrale'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 47 journal articles for your research on the topic 'Iperspettrale.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ciraolo, Giuseppe, Mario Minacapilli, and Maurizio Sciortino. "STIMA DELL’EVAPOTRASPIRAZIONE EFFETTIVA MEDIANTE TELERILEVAMENTO AEREO IPERSPETTRALE." Journal of Agricultural Engineering 38, no. 2 (2007): 49. http://dx.doi.org/10.4081/jae.2007.2.49.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Pepe, Monica, Loredana Pompilio, Beniamino Gioli, Lorenzo Busetto, and Mirco Boschetti. "Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands." Remote Sensing 12, no. 23 (2020): 3903. http://dx.doi.org/10.3390/rs12233903.

Full text

Abstract:

This study introduces a first assessment of the capabilities of PRISMA (PRecursore IperSpettrale della Missione Applicativa)—the new hyperspectral satellite sensor of the Italian Space Agency (ASI)—for Non-Photosynthetic Vegetation (NPV) monitoring, a topic which is becoming very relevant in the field of sustainable agriculture, being an indicator of crop residue (CR) presence in the field. Data-sets collected during the mission validation phase in croplands are used for mapping the NPV presence and for modelling the diagnostic absorption band of cellulose around 2.1 μm with an Exponential Gau

APA, Harvard, Vancouver, ISO, and other styles

3

Raju, Anand, and Rama Subramoniam. "Assessing Soil Nutrient Content and Mapping in Tropical Tamil Nadu, India, through Precursors IperSpettrale Della Mission Applicative Hyperspectral Spectroscopy." Applied Sciences 14, no. 1 (2023): 186. http://dx.doi.org/10.3390/app14010186.

Full text

Abstract:

Remote sensing techniques are capable of mapping soil nutrient concentrations and preparing soil maps for long-term agricultural productivity and food security. Recently, hyperspectral imaging techniques have been widely used to quantify and map nitrogen levels in the soil in large areas. In this study, we employed a partial least square regression (PLSR) technique over PRISMA hyperspectral data on part of the Radhapuram area, Tirunelveli District, India to improve the accuracy of estimating soil nutrient levels. The results of the study show that the PLSR prediction accuracy rates using field

APA, Harvard, Vancouver, ISO, and other styles

4

Aneece, Itiya, and Prasad S. Thenkabail. "New Generation Hyperspectral Sensors DESIS and PRISMA Provide Improved Agricultural Crop Classifications." Photogrammetric Engineering & Remote Sensing 88, no. 11 (2022): 715–29. http://dx.doi.org/10.14358/pers.22-00039r2.

Full text

Abstract:

Using new remote sensing technology to study agricultural crops will support advances in food and water security. The recently launched, new generation spaceborne hyperspectral sensors, German DLR Earth Sensing Imaging Spectrometer (DESIS) and Italian PRecursore IperSpettrale della Missione Applicativa (PRISMA), provide unprecedented data in hundreds of narrow spectral bands for the study of the Earth. Therefore, our overarching goal in this study was to use these data to explore advances that can be made in agricultural research. We selected PRISMA and DESIS images during the 2020 growing sea

APA, Harvard, Vancouver, ISO, and other styles

5

Hamzeh, S., M. Hajeb, S. K. Alavipanah, and J. Verrelst. "RETRIEVAL OF SUGARCANE LEAF AREA INDEX FROM PRISMA HYPERSPECTRAL DATA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 271–77. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-271-2023.

Full text

Abstract:

Abstract. The PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite of the Italian Space Agency, lunched in 2019, has provided a new generation source of hyperspectral data showing to have high potential in vegetation variable retrieval. In this study, the newly available PRISMA spectra were exploited to retrieve Leaf Area Index (LAI) of sugarcane using a new kind of Artificial Neural Networks (ANN) so-called Bayesian Regularized Artificial Neural Network (BRANN). The suggested BRANN retrieval model was implemented over a dataset collected during a field campaign in Amir Kabir

APA, Harvard, Vancouver, ISO, and other styles

6

Shaik, Riyaaz Uddien, Aiswarya Unni, and Weiping Zeng. "Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers." Remote Sensing 14, no. 22 (2022): 5774. http://dx.doi.org/10.3390/rs14225774.

Full text

Abstract:

A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. Quantum machine learning (QML) is machine learning for quantum computers. The availability of quantum processors has led to practical applications of QML algorithms in the remote sensing field. Quantum machines can learn from fewer data than non-quantum machines, but because of their low processing speed, quantum machines cannot be applied to an image that has hundreds of thousands of pixels. Researchers around the world are exploring applications for QML and in this work, it is applied for

APA, Harvard, Vancouver, ISO, and other styles

7

Rossini, M., C. Panigada, M. Meroni, L. Busetto, R. Castrovinci, and R. Colombo. "Pedunculate oak forests (Quercus robur L.) survey in the Ticino Regional Park (Italy) by remote sensing." Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 4, no. 2 (2007): 194–203. http://dx.doi.org/10.3832/efor0450-0040194.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Spiller, D., L. Ansalone, S. Amici, A. Piscini, and P. P. Mathieu. "ANALYSIS AND DETECTION OF WILDFIRES BY USING PRISMA HYPERSPECTRAL IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 215–22. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-215-2021.

Full text

Abstract:

Abstract. This paper deals with the analysis and detection of wildfires by using PRISMA imagery. Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) is a new hyperspectral mission by ASI (Agenzia Spaziale Italiana, Italian Space Agency) launched in 2019. This mission provides hyperspectral images with a spectral range of 0.4–2.5 µm and an average spectral resolution less than 10 nm. In this work, we used the PRISMA hypercube acquired during the Australian bushfires of December 2019 in New South Wales. The analysis of the image is pr

APA, Harvard, Vancouver, ISO, and other styles

9

Amieva, Juan Francisco, Daniele Oxoli, and Maria Antonia Brovelli. "Machine and Deep Learning Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery." Remote Sensing 15, no. 22 (2023): 5385. http://dx.doi.org/10.3390/rs15225385.

Full text

Abstract:

The estimation of Chlorophyll-a concentration is crucial for monitoring freshwater ecosystem health, particularly in lakes, as it is closely linked to eutrophication processes. Satellite imagery enables synoptic and frequent evaluations of Chlorophyll-a in water bodies, providing essential insights into spatiotemporal eutrophication dynamics. Frontier applications in water remote sensing support the utilization of machine and deep learning models applied to hyperspectral satellite imagery. This paper presents a comparative analysis of conventional machine and deep learning models—namely, Rando

APA, Harvard, Vancouver, ISO, and other styles

10

Vangi, Elia, Giovanni D’Amico, Saverio Francini, et al. "The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discrimination." Sensors 21, no. 4 (2021): 1182. http://dx.doi.org/10.3390/s21041182.

Full text

Abstract:

Different forest types based on different tree species composition may have similar spectral signatures if observed with traditional multispectral satellite sensors. Hyperspectral imagery, with a more continuous representation of their spectral behavior may instead be used for their classification. The new hyperspectral Precursore IperSpettrale della Missione Applicativa (PRISMA) sensor, developed by the Italian Space Agency, is able to capture images in a continuum of 240 spectral bands ranging between 400 and 2500 nm, with a spectral resolution smaller than 12 nm. The new sensor can be emplo

APA, Harvard, Vancouver, ISO, and other styles

11

Delogu, Gabriele, Miriam Perretta, Eros Caputi, et al. "Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy." Remote Sensing 16, no. 24 (2024): 4788. https://doi.org/10.3390/rs16244788.

Full text

Abstract:

Hyperspectral imagery and advanced classification techniques can significantly enhance remote sensing’s role in forest monitoring. Thanks to recent missions, such as the Italian Space Agency’s PRISMA (PRecursore IperSpettrale della Missione Applicativa—Hyperspectral PRecursor of the Application Mission), hyperspectral data in narrow bands spanning visible/near infrared to shortwave infrared are now available. In this study, hyperspectral data from PRISMA were used with the aim of testing the applicability of PRISMA with different band sizes to classify tree species in highly biodiverse forest

APA, Harvard, Vancouver, ISO, and other styles

12

Mishra, K., B. Vozel, and R. D. Garg. "PRINCIPAL COMPONENTS VERSUS AUTOENCODERS FOR DIMENSIONALITY REDUCTION: A CASE OF SUPER-RESOLVED OUTPUTS FROM PRISMA HYPERSPECTRAL MISSION DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 14, 2023): 1949–56. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1949-2023.

Full text

Abstract:

Abstract. This study attempts to solve these issues associated with hyperspectral (HS) data, i.e., coarse spatial resolution and high volume, by understanding the effect of deep learning and traditional dimensionality reduction on super-resolved products generated from the recently launched PRecursore IperSpettrale della Missione Applicativa (PRISMA) HS mission. Four single-frame super-resolution (SR) algorithms have been used to super-resolve a 30 m PRISMA scene of Ahmedabad, India and generate 15 m spatial resolution images with both spatial and spectral fidelity. Iterative back projection (

APA, Harvard, Vancouver, ISO, and other styles

13

Alicandro, Maria, Elena Candigliota, Donatella Dominici, et al. "Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Alba Fucens and Sinuessa Archaeological Sites (Italy)." Land 11, no. 11 (2022): 2070. http://dx.doi.org/10.3390/land11112070.

Full text

Abstract:

Over the last decades, remote sensing techniques have contributed to supporting cultural heritage studies and management, including archaeological sites as well as their territorial context and geographical surroundings. This paper aims to investigate the capabilities and limitations of the new hyperspectral sensor PRISMA (Precursore IperSpettrale della Missione Applicativa) by the Italian Space Agency (ASI), still little applied to archaeological studies. The PRISMA sensor was tested on Italian terrestrial (Alba Fucens, Massa D’Albe, L’Aquila) and marine (Sinuessa, Mondragone, Caserta) archae

APA, Harvard, Vancouver, ISO, and other styles

14

Aneece, Itiya, Prasad S. Thenkabail, Richard McCormick, et al. "Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping." Photogrammetric Engineering & Remote Sensing 90, no. 11 (2024): 687–98. http://dx.doi.org/10.14358/pers.24-00026r2.

Full text

Abstract:

Hyperspectral sensors provide near-continuous spectral data that can facilitate advancements in agricultural crop classification and characterization, which are important for addressing global food and water security issues. We investigated two new-generation hyperspectral sensors, Germany’s Deutsches Zentrum für Luft‐ und Raumfahrt Earth Sensing Imaging Spectrometer (DESIS) and Italy’s PRecursore IperSpettrale della Missione Applicativa (PRISMA), within California???s Central Valley in August 2021 focusing on five irrigated agricultural crops (alfalfa, almonds, corn, grapes, and pistachios).

APA, Harvard, Vancouver, ISO, and other styles

15

Wilder, Brenton A., Joachim Meyer, Josh Enterkine, and Nancy F. Glenn. "Improved snow property retrievals by solving for topography in the inversion of at-sensor radiance measurements." Cryosphere 18, no. 11 (2024): 5015–29. http://dx.doi.org/10.5194/tc-18-5015-2024.

Full text

Abstract:

Abstract. Accurately modelling optical snow properties like snow albedo and specific surface area (SSA) are essential for monitoring the cryosphere in a changing climate and are parameters that inform hydrologic and climate models. These snow surface properties can be modelled from spaceborne imaging spectroscopy measurements but rely on digital elevation models (DEMs) of relatively coarse spatial scales (e.g. Copernicus at 30 m), which degrade accuracy due to errors in derived products such as slope and aspect. In addition, snow deposition and redistribution can change the apparent topography

APA, Harvard, Vancouver, ISO, and other styles

16

Calassou, Gabriel, Pierre-Yves Foucher, and Jean-François Léon. "Quantifying particulate matter optical properties and flow rate in industrial stack plumes from the PRISMA hyperspectral imager." Atmospheric Measurement Techniques 17, no. 1 (2024): 57–71. http://dx.doi.org/10.5194/amt-17-57-2024.

Full text

Abstract:

Abstract. Industrial activities such as metallurgy, coal and oil combustion, cement production, and petrochemistry release aerosol particles into the atmosphere. We propose analyzing the aerosol composition of plumes emitted by different industrial stacks using PRISMA (PRecursore IperSpettrale della Missione Applicativa) satellite hyperspectral observations. Three industrial sites have been observed: a coal-fired power plant in Matla, South Africa (imaged on 25 September 2021); a steel plant in Wuhan, China (24 March 2021); and gas flaring at an oil extraction site in Hassi Messaoud, Algeria (

APA, Harvard, Vancouver, ISO, and other styles

17

Rasooli, Najmeh, Saham Mirzaei, and Stefano Pignatti. "Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach." Remote Sensing 17, no. 11 (2025): 1914. https://doi.org/10.3390/rs17111914.

Full text

Abstract:

Enhancing the spatial resolution of gypsiferous soil detection, as a valuable baseline information layer, is beneficial for investigating agroecological processes and tackling land degradation in semi-arid environments. This study evaluates the performance of PRISMA (PRecursore IperSpettrale della Missione Applicativa) and EnMAP (Environmental Mapping and Analysis Program) satellites in estimating soil gypsum content and compares models trained on satellite imagery versus lab data. To this end, 242 bare-soil samples were collected from southeast Iran. Gypsum content was measured using acetone

APA, Harvard, Vancouver, ISO, and other styles

18

Acito, Nicola, Marco Diani, Gregorio Procissi, and Giovanni Corsini. "Atmospheric Compensation of PRISMA Data by Means of a Learning Based Approach." Remote Sensing 13, no. 15 (2021): 2967. http://dx.doi.org/10.3390/rs13152967.

Full text

Abstract:

Atmospheric compensation (AC) allows the retrieval of the reflectance from the measured at-sensor radiance and is a fundamental and critical task for the quantitative exploitation of hyperspectral data. Recently, a learning-based (LB) approach, named LBAC, has been proposed for the AC of airborne hyperspectral data in the visible and near-infrared (VNIR) spectral range. LBAC makes use of a parametric regression function whose parameters are learned by a strategy based on synthetic data that accounts for (1) a physics-based model for the radiative transfer, (2) the variability of the surface re

APA, Harvard, Vancouver, ISO, and other styles

19

Habashi, Jabar, Hadi Jamshid Moghadam, Majid Mohammady Oskouei, Amin Beiranvand Pour, and Mazlan Hashim. "PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran." Remote Sensing 16, no. 7 (2024): 1277. http://dx.doi.org/10.3390/rs16071277.

Full text

Abstract:

Remote sensing satellite imagery consistently provides valuable and frequent information, enabling the exploration of mineral resources across immense, remote and harsh domains. Recent developments in spaceborne hyperspectral remote sensing have opened avenues to support diverse remote sensing applications, particularly in the realm of mineral exploration. This study evaluates the capabilities of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) hyperspectral satellite data for mapping alteration minerals using the Matched Filtering Unmixing (MFU) approach in the Sar-e-châh-e-sh

APA, Harvard, Vancouver, ISO, and other styles

20

Musacchio, Massimo, Malvina Silvestri, Vito Romaniello, Marco Casu, Maria Fabrizia Buongiorno, and Maria Teresa Melis. "Comparison of ASI-PRISMA Data, DLR-EnMAP Data, and Field Spectrometer Measurements on “Sale ‘e Porcus”, a Salty Pond (Sardinia, Italy)." Remote Sensing 16, no. 6 (2024): 1092. http://dx.doi.org/10.3390/rs16061092.

Full text

Abstract:

A comparison between the ASI-PRISMA (Agenzia Spaziale Italiana-PRecursore IperSpettrale della Missione Applicativa) DLR-EnMAP (German Aerospace Center—Environmental Mapping and Analysis Program) data and field spectrometer measurements has been performed. The test site, located at the “Sale ‘e Porcus” pond (hereafter SPp) in Western Sardinia, Italy, offers particularly homogenous characteristics, making it an ideal location not only for experimentation but also for calibration purposes. Three remote-sensed data acquisitions have been performed by these agencies (ASI and DLR) starting on 14 Jul

APA, Harvard, Vancouver, ISO, and other styles

21

Baiocchi, Valerio, Francesca Giannone, and Felicia Monti. "How to Orient and Orthorectify PRISMA Images and Related Issues." Remote Sensing 14, no. 9 (2022): 1991. http://dx.doi.org/10.3390/rs14091991.

Full text

Abstract:

The orientation of satellite images is a necessary operation for the correct geometric use of satellite images whether they are used individually to obtain an orthophoto or as stereocouples to extract three-dimensional information. The orientation allows us to reconstruct the correct position on the ground of the single pixels that form the image, which normally can be performed using certain functions of commercial software customised for each specific satellite. These functions read the metadata parameters provided by the satellite operator and use them to correctly orient the images. Unfort

APA, Harvard, Vancouver, ISO, and other styles

22

Amici, Stefania, and Alessandro Piscini. "Exploring PRISMA Scene for Fire Detection: Case Study of 2019 Bushfires in Ben Halls Gap National Park, NSW, Australia." Remote Sensing 13, no. 8 (2021): 1410. http://dx.doi.org/10.3390/rs13081410.

Full text

Abstract:

Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) is a new hyperspectral mission by the ASI (Agenzia Spaziale Italiana, Italian Space Agency) mission launched in 2019 to measure the unique spectral features of diverse materials including vegetation and forest disturbances. In this study, we explored the potential use of this new sensor PRISMA for active wildfire characterization. We used the PRISMA hypercube acquired during the Australian bushfires of 2019 in New South Wales to test three detection techniques that take advantage of

APA, Harvard, Vancouver, ISO, and other styles

23

Giardino, Claudia, Mariano Bresciani, Federica Braga, et al. "First Evaluation of PRISMA Level 1 Data for Water Applications." Sensors 20, no. 16 (2020): 4553. http://dx.doi.org/10.3390/s20164553.

Full text

Abstract:

This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the radiometrically calibrated PRISMA Level 1 TOA radiances were compared to the TOA radiances simulated with a radiative transfer code, starting from in situ measurements of water reflectance. In situ data were obtained from a set of fixed position autonomous radiometers covering a

APA, Harvard, Vancouver, ISO, and other styles

24

Romaniello, Vito, Malvina Silvestri, Maria Fabrizia Buongiorno, and Massimo Musacchio. "Comparison of PRISMA Data with Model Simulations, Hyperion Reflectance and Field Spectrometer Measurements on ‘Piano delle Concazze’ (Mt. Etna, Italy)." Sensors 20, no. 24 (2020): 7224. http://dx.doi.org/10.3390/s20247224.

Full text

Abstract:

In this work, we compare first acquisitions from the ASI-PRISMA (Agenzia Spaziale Italiana-PRecursore IperSpettrale della Missione Applicativa) space mission with model simulations, past data acquired by the Hyperion sensor and field spectrometer measurements. The test site is ‘Piano delle Concazze’ (Mt. Etna, Italy), suitable for calibration purposes due to its homogeneity characteristics. The area measures at about 0.2 km2 and is composed of very homogeneous trachybasalt rich in plagioclase and olivine. Three PRISMA acquisitions, achieved on 31 July and 8 and 17 August 2019, are analyzed. Fi

APA, Harvard, Vancouver, ISO, and other styles

25

Gancheva, Irina. "Analysis of hyperspectral and multispectral reflectance spectra in the Black Sea coastal area near the Danube delta: comparison of PRISMA and Sentinel-2 observations." Journal of Physics: Conference Series 2255, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1742-6596/2255/1/012015.

Full text

Abstract:

Abstract In this study we investigate the possibility to distinguish between different water types in the Danube delta and the Black Sea coastal zone based on the reflectance spectra. For this we use hyperspectral satellite images from PRISMA (PRecursore IperSpettrale della Missione Applicativa) and multispectral images from Sentinel-2 MSI (MultiSpectral Instrument) in July 2020. The visual inspection of the available acquisitions differentiates between four aquatic types: lagoons; river and stream plumes mixing with marine waters; turbid and optically complex coastal waters; and optically cle

APA, Harvard, Vancouver, ISO, and other styles

26

Yang, Xi, Hanyu Shi, and Zhiqiang Xiao. "Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP." Remote Sensing 16, no. 21 (2024): 4064. http://dx.doi.org/10.3390/rs16214064.

Full text

Abstract:

With the continued advancement of spaceborne hyperspectral sensors, hyperspectral remote sensing is evolving as an increasingly pivotal tool for high-precision global monitoring applications. Novel image spectroscopy data, e.g., the PRecursore IperSpettrale della Missione Applicativa (PRISMA) and Environmental Mapping and Analysis Program (EnMAP), can rapidly and non-invasively capture subtle spectral information of terrestrial vegetation, facilitating the precise retrieval of the required vegetation parameters. As critical vegetation traits, Leaf Mass per Area (LMA) and Equivalent Water Thick

APA, Harvard, Vancouver, ISO, and other styles

27

Cusworth, Daniel H., Andrew K. Thorpe, Charles E. Miller, et al. "Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants." Atmospheric Chemistry and Physics 23, no. 22 (2023): 14577–91. http://dx.doi.org/10.5194/acp-23-14577-2023.

Full text

Abstract:

Abstract. Carbon dioxide (CO2) emissions from combustion sources are uncertain in many places across the globe. Satellites have the ability to detect and quantify emissions from large CO2 point sources, including coal-fired power plants. In this study, we routinely made observations with the PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite imaging spectrometer and the Orbiting Carbon Observatory-3 (OCO-3) instrument aboard the International Space Station at over 30 coal-fired power plants between 2021 and 2022. CO2 plumes were detected in 50 % of the acquired PRISMA scene

APA, Harvard, Vancouver, ISO, and other styles

28

Wu, Yu, Yanan Xie, and Rui Wang. "Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai." Atmosphere 15, no. 3 (2024): 246. http://dx.doi.org/10.3390/atmos15030246.

Full text

Abstract:

As global warming intensifies, monitoring carbon dioxide (CO2) has increasingly become a focal point of research. Investigating urban XCO2 emission systems holds paramount importance, given the pivotal role of cities as major contributors to carbon emissions. Consequently, this study centers on urban locales, employing Shanghai as a case study for a comprehensive evaluation of regional XCO2 levels. We utilized high spatial resolution imagery from the PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite to conduct an XCO2 assessment over the Baoshan District with a 30 m spatia

APA, Harvard, Vancouver, ISO, and other styles

29

Niroumand-Jadidi, Milad, Francesca Bovolo, and Lorenzo Bruzzone. "Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2." Remote Sensing 12, no. 23 (2020): 3984. http://dx.doi.org/10.3390/rs12233984.

Full text

Abstract:

A new era of spaceborne hyperspectral imaging has just begun with the recent availability of data from PRISMA (PRecursore IperSpettrale della Missione Applicativa) launched by the Italian space agency (ASI). There has been pre-launch optimism that the wealth of spectral information offered by PRISMA can contribute to a variety of aquatic science and management applications. Here, we examine the potential of PRISMA level 2D images in retrieving standard water quality parameters, including total suspended matter (TSM), chlorophyll-a (Chl-a), and colored dissolved organic matter (CDOM) in a turbi

APA, Harvard, Vancouver, ISO, and other styles

30

Cavalli, Rosa Maria. "Local, Daily, and Total Bio-Optical Models of Coastal Waters of Manfredonia Gulf Applied to Simulated Data of CHRIS, Landsat TM, MIVIS, MODIS, and PRISMA Sensors for Evaluating the Error." Remote Sensing 12, no. 9 (2020): 1428. http://dx.doi.org/10.3390/rs12091428.

Full text

Abstract:

The spatial–temporal resolution of remote data covers coastal water variability, but this approach offers a lower accuracy than in situ observations. Two of the major error sources occur due to the parameterization of bio-optical models and spectral capability of the remote data. These errors were evaluated by exploiting data acquired in the coastal waters of Manfredonia Gulf. Chlorophyll-a concentrations, absorption of the colored dissolved organic material at 440 nm (aCDOM440nm), and tripton concentrations measured in situ varied between 0.09–1.76 mgm−3, 0.00–0.41 m−1, and 1.97–8.90 gm−3. In

APA, Harvard, Vancouver, ISO, and other styles

31

Fonseca, Alejandro, Michael Thomas Marshall, and Suhyb Salama. "Enhanced Detection of Artisanal Small-Scale Mining with Spectral and Textural Segmentation of Landsat Time Series." Remote Sensing 16, no. 10 (2024): 1749. http://dx.doi.org/10.3390/rs16101749.

Full text

Abstract:

Artisanal small-scale mines (ASMs) in the Amazon Rainforest are an important cause of deforestation, forest degradation, biodiversity loss, sedimentation in rivers, and mercury emissions. Satellite image data are widely used in environmental decision-making to monitor changes in the land surface, but ASMs are difficult to map from space. ASMs are small, irregularly shaped, unevenly distributed, and confused (spectrally) with other land clearance types. To address this issue, we developed a reliable and efficient ASM detection method for the Tapajós River Basin of Brazil—an important gold minin

APA, Harvard, Vancouver, ISO, and other styles

32

Pascual-Venteo, Ana B., Enrique Portalés, Katja Berger, et al. "Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data." Remote Sensing 14, no. 10 (2022): 2448. http://dx.doi.org/10.3390/rs14102448.

Full text

Abstract:

In preparation for new-generation imaging spectrometer missions and the accompanying unprecedented inflow of hyperspectral data, optimized models are needed to generate vegetation traits routinely. Hybrid models, combining radiative transfer models with machine learning algorithms, are preferred, however, dealing with spectral collinearity imposes an additional challenge. In this study, we analyzed two spectral dimensionality reduction methods: principal component analysis (PCA) and band ranking (BR), embedded in a hybrid workflow for the retrieval of specific leaf area (SLA), leaf area index

APA, Harvard, Vancouver, ISO, and other styles

33

Misbah, Khalil, Ahmed Laamrani, Paul Voroney, Keltoum Khechba, Raffaele Casa, and Abdelghani Chehbouni. "Ensemble Band Selection for Quantification of Soil Total Nitrogen Levels from Hyperspectral Imagery." Remote Sensing 16, no. 14 (2024): 2549. http://dx.doi.org/10.3390/rs16142549.

Full text

Abstract:

Total nitrogen (TN) is a critical nutrient for plant growth, and its monitoring in agricultural soil is vital for farm managers. Traditional methods of estimating soil TN levels involve laborious and costly chemical analyses, especially when applied to large areas with multiple sampling points. Remote sensing offers a promising alternative for identifying, tracking, and mapping soil TN levels at various scales, including the field, landscape, and regional levels. Spaceborne hyperspectral sensing has shown effectiveness in reflecting soil TN levels. This study evaluates the efficiency of spectr

APA, Harvard, Vancouver, ISO, and other styles

34

Brown, Luke A., Harry Morris, Andrew MacLachlan, et al. "Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies." Remote Sensing 16, no. 12 (2024): 2066. http://dx.doi.org/10.3390/rs16122066.

Full text

Abstract:

As an unprecedented stream of decametric hyperspectral observations becomes available from recent and upcoming spaceborne missions, effective algorithms are required to retrieve vegetation biophysical and biochemical variables such as leaf area index (LAI) and canopy chlorophyll content (CCC). In the context of missions such as the Environmental Mapping and Analysis Program (EnMAP), Precursore Iperspettrale della Missione Applicativa (PRISMA), Copernicus Hyperspectral Imaging Mission for the Environment (CHIME), and Surface Biology Geology (SBG), several retrieval algorithms have been develope

APA, Harvard, Vancouver, ISO, and other styles

35

van Gerrevink, Max J., and Sander Veraverbeke. "Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity." Remote Sensing 13, no. 22 (2021): 4611. http://dx.doi.org/10.3390/rs13224611.

Full text

Abstract:

Fire severity represents fire-induced environmental changes and is an important variable for modeling fire emissions and planning post-fire rehabilitation. Remotely sensed fire severity is traditionally evaluated using the differenced normalized burn ratio (dNBR) derived from multispectral imagery. This spectral index is based on bi-temporal differenced reflectance changes caused by fires in the near-infrared (NIR) and short-wave infrared (SWIR) spectral regions. Our study aims to evaluate the spectral sensitivity of the dNBR using hyperspectral imagery by identifying the optimal bi-spectral N

APA, Harvard, Vancouver, ISO, and other styles

36

Gerhards, Max, Martin Schlerf, Kaniska Mallick, and Thomas Udelhoven. "Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review." Remote Sensing 11, no. 10 (2019): 1240. http://dx.doi.org/10.3390/rs11101240.

Full text

Abstract:

Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches together with classic solar-reflective (visible, near-, and shortwave infrared reflectance (VNIR)/SWIR) hyperspectral remote sensing form the latest state-of-the-art techniques for the detection of crop water stress. Each of these three domains requires dedicated sensor technology currently in place for ground and airborne applications and either have satellite concepts under development (e.g., HySPIRI/SBG (Surface Biology and Geology), Sentinel-8, HiTeSEM in the TIR) or are subject to satellite missions

APA, Harvard, Vancouver, ISO, and other styles

37

Roger, Javier, Luis Guanter, Javier Gorroño, and Itziar Irakulis-Loitxate. "Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers." Atmospheric Measurement Techniques 17, no. 4 (2024): 1333–46. http://dx.doi.org/10.5194/amt-17-1333-2024.

Full text

Abstract:

Abstract. Remote sensing emerges as an important tool for the detection of methane plumes emitted by so-called point sources, which are common in the energy sector (e.g., oil and gas extraction and coal mining activities). In particular, satellite imaging spectroscopy missions covering the shortwave infrared part of the solar spectrum are very effective for this application. These instruments sample the methane absorption features at the spectral regions around 1700 and 2300 nm, which enables the retrieval of methane concentration enhancements per pixel. Data-driven retrieval methods, in parti

APA, Harvard, Vancouver, ISO, and other styles

38

Ciraolo, Giuseppe, Mario Minacapilli, and Maurizio Sciortino. "STIMA DELL'EVAPOTRASPIRAZIONE EFFETTIVA MEDIANTE TELERILEVAMENTO AEREO IPERSPETTRALE." June 30, 2012. https://doi.org/10.4081/jae.2007.2.49.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Preda, Fabrizio, Antonio Perri, and Dario Polli. "A New 'Hera' in Hyperspectral Imaging." February 22, 2021. https://doi.org/10.1002/phvs.202100020.

Full text

Abstract:

AbstractHera Iperspettrale is a novel hyperspectral camera based on a patented Fourier‐transform approach. The device can be employed in a large variety of applications, ranging from cultural heritage to biology, from material sorting and food inspection to remote sensing and vegetation studies. The exceptional throughput of the optical system ensures high‐quality data even at the lowest light dose, making the camera very suitable for fluorescence hyper‐spectral imaging.

APA, Harvard, Vancouver, ISO, and other styles

40

Stefania, Amici, Spiller Dario, Ansalone Luigi, and Miller Lee. "Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal( ECOSTRESS-L8)- HFDI, pan-sharp and fire spectra with PRISMA." December 2, 2022. https://doi.org/10.5281/zenodo.7271523.

Full text

Abstract:

The paper deals with detection and temperature analysis and of wildfires using PRISMA imagery. Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) a new hyperspectral mission by ASI (Agenzia Spaziale Italiana, Italian Space Agency) launched. Here are reported the Hyperspectral Fire Index results, the refectance spectra and the PRISMA pan-sharpened data A full description of the dataset is provided in the readme.txt file 

APA, Harvard, Vancouver, ISO, and other styles

41

TIRMANOĞLU, Buse, İrem İSMAİLOĞLU, Aylin TUZCU KOKAL, and Nebiye MUSAOĞLU. "Yeni Nesil Multispektral ve Hiperspektral Uydu Görüntülerinin Arazi Örtüsü / Arazi Kullanımı Sınıflandırma Performanslarının Karşılaştırılması: Sentinel-2 ve PRISMA Uydusu." Geomatik, November 21, 2022. http://dx.doi.org/10.29128/geomatik.1126685.

Full text

Abstract:

Dünya gözlem uydularının gelişmesiyle Arazi Örtüsü/Arazi Kullanımı(AÖ/AK) sınıflandırması, ekosistemleri izlemede ve kaynak yönetiminde değerli bilgiler sağlayan önemli bir uygulama haline gelmiştir. Landsat ve Sentinel-2 gibi uydu görüntüleri ile AÖ/AK sınıfları belirli detayda çıkartılabilirken bazı uygulamalarda spektral çözünürlük nedeniyle sınıfların ayırt edilebilirliğinde problemler ortaya çıkabilmektedir. Günümüzde hiperspektral veri sağlayan uydulardan elde edilen görüntüler yüksek spektral çözünürlük sağladıklarından sınıfların ayırt edilebilirliğini arttırmaktadır. Farklı mekânsal ç

APA, Harvard, Vancouver, ISO, and other styles

42

Giardino, Claudia, Mariano Bresciani, Federica Braga, et al. "First Evaluation of PRISMA Level 1 Data for Water Applications." August 14, 2020. https://doi.org/10.5281/zenodo.3997368.

Full text

Abstract:

This study presents a first assessment of the Top-Of-Atmosphere (TOA) radiances measured in the visible and near-infrared (VNIR) wavelengths from PRISMA (PRecursore IperSpettrale della Missione Applicativa), the new hyperspectral satellite sensor of the Italian Space Agency in orbit since March 2019. In particular, the radiometrically calibrated PRISMA Level 1 TOA radiances were compared to the TOA radiances simulated with a radiative transfer code, starting from in situ measurements of water reflectance. In situ data were obtained from a set of fixed position autonomous radiometers covering a

APA, Harvard, Vancouver, ISO, and other styles

43

Bantelmann, Paul, Daniel Wyss, Elizabeth Twitileni Pius, and Martin Kappas. "Spectral imaging of grass species in arid ecosystems of Namibia." Frontiers in Remote Sensing 5 (March 14, 2024). http://dx.doi.org/10.3389/frsen.2024.1368551.

Full text

Abstract:

Grasslands across the African continent are under pressure from climate change and human activities, particularly in arid ecosystems. From a remote sensing perspective, these ecosystems have not received much scientific attention, especially in Namibia. To address this knowledge gap, various remote sensing methods were implemented using new generation spaceborne imaging spectrometers amongst others. Therefore, this research provides a first methodological approach aimed at mapping and evaluating the distribution of grasslands within two private nature reserves, namely, the NamibRand Nature Res

APA, Harvard, Vancouver, ISO, and other styles

44

Niroumand-Jadidi, Milad, Francesca Bovolo, and Lorenzo Bruzzone. "Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2." December 8, 2020. https://doi.org/10.3390/rs12233984.

Full text

Abstract:

A new era of spaceborne hyperspectral imaging has just begun with the recent availability of data from PRISMA (PRecursore IperSpettrale della Missione Applicativa) launched by the Italian space agency (ASI). There has been pre-launch optimism that the wealth of spectral information offered by PRISMA can contribute to a variety of aquatic science and management applications. Here, we examine the potential of PRISMA level 2D images in retrieving standard water quality parameters, including total suspended matter (TSM), chlorophyll-a (Chl-a), and colored dissolved organic matter (CDOM) in a turbi

APA, Harvard, Vancouver, ISO, and other styles

45

Cavalli, Rosa Maria. "Local, Daily, and Total Bio-Optical Models of Coastal Waters of Manfredonia Gulf Applied to Simulated Data of CHRIS, Landsat TM, MIVIS, MODIS, and PRISMA Sensors for Evaluating the Error." May 4, 2020. https://doi.org/10.3390/rs12091428.

Full text

Abstract:

The spatial–temporal resolution of remote data covers coastal water variability, but this approach offers a lower accuracy than in situ observations. Two of the major error sources occur due to the parameterization of bio-optical models and spectral capability of the remote data. These errors were evaluated by exploiting data acquired in the coastal waters of Manfredonia Gulf. Chlorophyll-a concentrations, absorption of the colored dissolved organic material at 440 nm (aCDOM440nm), and tripton concentrations measured in situ varied between 0.09–1.76 mgm−3, 0.00–0.41 m−1, and 1.97–8.90 gm−3. In

APA, Harvard, Vancouver, ISO, and other styles

46

Saranathan, Arun M., Mortimer Werther, Sundarabalan V. Balasubramanian, Daniel Odermatt, and Nima Pahlevan. "Assessment of advanced neural networks for the dual estimation of water quality indicators and their uncertainties." Frontiers in Remote Sensing 5 (July 18, 2024). http://dx.doi.org/10.3389/frsen.2024.1383147.

Full text

Abstract:

Given the use of machine learning-based tools for monitoring the Water Quality Indicators (WQIs) over lakes and coastal waters, understanding the properties of such models, including the uncertainties inherent in their predictions is essential. This has led to the development of two probabilistic NN-algorithms: Mixture Density Network (MDN) and Bayesian Neural Network via Monte Carlo Dropout (BNN-MCD). These NNs are complex, featuring thousands of trainable parameters and modifiable hyper-parameters, and have been independently trained and tested. The model uncertainty metric captures the unce

APA, Harvard, Vancouver, ISO, and other styles

47

Jennewein, Jyoti S., W. Hively, Brian T. Lamb, et al. "Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues." Precision Agriculture, June 27, 2024. http://dx.doi.org/10.1007/s11119-024-10159-4.

Full text

Abstract:

Abstract Purpose Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil health, increased soil carbon sequestration, and reduced fertilizer needs. Crop residue carbon traits (i.e., lignin, holocellulose, non-structural carbohydrates) and nitrogen concentrations largely mediate decomposition rates and amount of plant-available nitrogen accessible to cash crops and determine soil carbon residence time. Non-destructive approaches to quantify these important traits are possible using spectroscopy. Methods he

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!