The PROBA/CHRIS mission: a low-cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere

Barnsley, Michael J.; Settle, J. J.; Cutter, M. A.; Lobb, Daniel R.; Teston, F.

doi:10.1109/tgrs.2004.827260

Cited by 259 publications

(121 citation statements)

References 22 publications

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“…Two technology demonstration missions, Hyperion onboard NASA's Earth Observing-1 (EO-1) spacecraft [32] and the Compact High Resolution Imaging Spectrometer (CHRIS) on ESA's Proba-1 microsatellite [33], have been the main providers of space-based hyperspectral data over the last few decades. Even though both missions have largely exceeded their planned one-year lifetime, they are still very valuable sources of publicly-available spaceborne hyperspectral data.…”

Section: Introductionmentioning

confidence: 99%

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

et al. 2015

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Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through spectrally-resolved measurements of the light interacting with matter. The potential of imaging spectroscopy for Earth remote sensing has been demonstrated since the 1980s. However, most of the developments and applications in imaging spectroscopy have largely relied on airborne spectrometers, as the amount and quality of space-based imaging spectroscopy data remain relatively low to date. The upcoming Environmental Mapping and Analysis Program (EnMAP) German imaging spectroscopy mission is intended to fill this gap. An overview of the main characteristics and current status of the mission is provided in this contribution. The core payload of EnMAP consists of a dual-spectrometer instrument measuring in the optical spectral range between 420 and 2450 nm with a spectral sampling distance varying between 5 and 12 nm and a reference signal-to-noise ratio of 400:1 in the visible and near-infrared and 180:1 in the shortwave-infrared parts of the spectrum. EnMAP images will cover a 30 km-wide area in the across-track direction with a ground sampling distance of 30 m. An across-track tilted observation capability will enable a target revisit time of up to four days at the Equator and better at high latitudes. EnMAP will contribute to the development and exploitation of spaceborne imaging spectroscopy applications by making high-quality data freely available to scientific users worldwide.

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Section: Introductionmentioning

confidence: 99%

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

et al. 2015

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“…When the land cover is heterogeneous (e.g., patchy agricultural/forestland, urban area), the products with 1-km resolution are not suitable for describing the spatial variation of albedo for this situation. Several studies focus on generating high spatial resolutions of the surface albedo products with a Landsat TM [125,126], Compact High Resolution Imaging Spectrometer (CHRIS)/PRoject for On Board Autonomy (PROBA) [127], HJ-1A/B [128], and AVIRIS [68], and the resolution-enhancing method [129] has also been studied for deriving surface broadband albedo products with finer spatial resolution.…”

Section: Spatial and Temporal Resolutionsmentioning

confidence: 99%

Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

Liang

Liu

et al. 2015

Remote Sensing

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Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the surfaces of the Earth, remote sensing is widely used for deriving long-term surface broadband albedo with various geostationary and polar-orbit satellite platforms in recent decades. Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling, direct-estimation algorithm and the algorithms for estimating albedo from geostationary satellite data, are developed and improved. In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms and products in a historical perspective based on citation analysis of the published literature. This paper shows that the observation technologies and accuracy requirement of applications are important, and long-term, global OPEN ACCESSRemote Sens. 2015, 7 991 fully-covered (including land, ocean, and sea-ice surfaces), gap-free, surface broadband albedo products with higher spatial and temporal resolution are required for climate change, surface energy budget, and hydrological studies.

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“…• , ±60.0 • , and ±70.5 • ) or cross-track swath (e.g., MODIS [7] or moderate-resolution imaging spectroradiometer on Terra which accumulates multiangular data on subsequent orbits) or precommanded autonomous pointing (e.g., CHRIS [8] or compact high-resolution imaging spectrometer on Proba-1 that provides spectral radiance images at five angles (0 • , ± 36…”

Section: Introductionmentioning

confidence: 99%

Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations

Nag

Gatebe

Hilker

2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Abstract-To completely capture the multiangular reflectance of an opaque surface, one must estimate the bidirectional reflectance distribution function (BRDF), which seeks to represent variations in surface reflectance as a function of measurement and illumination angles at any time instant. The gap in angular sampling abilities of existing single satellites in Earth observation missions can be complemented by small satellites in formation flight. The formation would have intercalibrated spectrometer payloads making reflectance measurements, at many zenith and azimuthal angles simultaneously. We use a systems engineering tool coupled with a science evaluation tool to demonstrate the performance impact and mission feasibility. Formation designs are generated and compared to each other and multisensor single spacecraft, in terms of estimation error of BRDF and its dependent products such as albedo, light use efficiency (LUE), and normalized difference vegetation index (NDVI). Performance is benchmarked with respect to data from previous airborne campaigns (NASA's Cloud Absorption Radiometer), and tower measurements (AMSPEC II), and assuming known BRDF models. Simulations show that a formation of six small satellites produces lesser average error (21.82%) than larger single spacecraft (23.2%), purely in terms of angular sampling benefits. The average monolithic albedo error of 3.6% is outperformed by a formation of three satellites (1.86%), when arranged optimally and by a formation of seven to eight satellites when arranged in any way. An eight-satellite formation reduces albedo errors to 0.67% and LUE errors from 89.77% (monolithic) to 78.69%. The average NDVI for an eight satellite, nominally maintained formation is better than the monolithic 0.038.

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The PROBA/CHRIS mission: a low-cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere

Cited by 259 publications

References 22 publications

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations

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