3 edition of BOREAS RSS-7 LAI, gap fraction, and FPAR data found in the catalog.
BOREAS RSS-7 LAI, gap fraction, and FPAR data
by National Aeronautics and Space Administration, Goddard Space Flight Center, Available from NASA Center for AeroSpace Information in Greenbelt, Md, Hanover, MD
Written in English
|Series||Technical report series on the Boreal Ecosystem-Atmosphere Study (BOREAS) -- 51., NASA/TM -- 2000-209891, v. 51., NASA technical memorandum -- 209891.|
|Contributions||Goddard Space Flight Center.|
|The Physical Object|
Estimating leaf area index (LAI) of Vitis vinifera using indirect methods involves some critical issues, related to its discontinuous and non-homogeneous canopy. This study evaluates the smart app PocketLAI and hemispherical photography in vineyards against destructive LAI measurements. Data were collected during six surveys in an experimental site characterized by a high level of X Carver Bancorp, Inc. - Labor Productivity Benchmarks and International Gap Analysis, Icon Group Ltd. Making Connections, Level 2 - Assessment Package, Mary Lou Kessler Aris Industries, Inc. - International Competitive Benchmarks and Financial Gap Analysis, Icon Group ://
Search the EOSDIS Data News Archive by clicking in the search box below and entering in a keyword term, such as a DAAC (ASDC, NSIDC, SEDAC, etc), an instrument/mission (GRACE, MODIS, TROPOMI, etc) or science term (surface mass, snow cover, tomography, etc). 1. Introduction. Leaf area index (LAI, alternatively denoted as L), defined as half the total surface area of green foliage per unit of ground area projected on the local horizontal datum, is an important parameter in models of carbon and vapour fluxes between the atmosphere and land estimates have been derived over boreal forests from satellite imagery at scales ranging from 30 m
Remotely sensed data. Remotely sensed FPAR and LAI data derived from HJ-1/CCD images by Fan et al.  and Liao et al. , with a spatial resolution of 30 m and a temporal resolution of 1 month, covering May to October, , were used in this two remotely sensed products were considered of good quality after evaluated with field measurements [40,41] Validation of Canada-wide LAI/FPAR maps using satellite data. Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition/21th Canadian Symposium on Remote Sensing, Canadian Remote Sensing Society and ERIM International, Inc., pp IIII, Ottawa, Ontario, Canada, June 's homepage/
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The BOREAS RSS-7 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of Leaf Area Index (LAI) from remotely sensed :// BOREAS RSS-7 LAI, Gap Fraction, and FPAR Data Jing M. Chen Summary The BOREAS RSS-7 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of LAI from remotely sensed images.
Ground measurements of LAI and FPAR absorbed by the plant canopy were made using the LAI and TRAC Get this from a library. BOREAS RSS-7 LAI, gap fraction, and FPAR data. [Jing Chen; Goddard Space Flight Center.] BOREAS RSS-7 Regional LAI and FPAR Images From Ten-Day AVHRR-LAC Composites Jing M.
Chen, Josef Cihlar Summary The BOREAS RSS-7 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of LAI from remotely sensed images.
AVHRR level-4c day BOREAS RSS-4 Southern Study Area Jack Pine LAI and FPAR Data. Jack Pine LAI and FPAR Data. gap fraction is the fraction of view in any direction from below a plant canopy that is not The theories of field LAI measurements are documented in the BOREAS RSS LAI, Gap Fraction, and FPAR Data document.
The LAI data sets have been geometrically rectified. The LAI maps were produced with encoded LAI range values. Image processing and penetration of LAI maps were conducted at the Canada Centre for Remote Sensing (CCRS). BOREAS RSS Jack Pine Leaf Biochemistry and Modeled Spectra in the SSA: user guide: download: KB * BOREAS RSS Southern Study Area Jack Pine LAI & FPAR Data: user guide: download: KB * BOREAS RSS LAI, Gap Fraction, and FPAR Data: user guide: download: KB * This data set is related to the surface reflectance imagery acquired by CASI in the winter of (RSS).
Other data sets mapping leaf area index over the study sites include: BOREAS RSS Southern Study Area Jack Pine LAI & FPAR Data BOREAS RSS LAI, Gap Fraction, and FPAR Data BOREAS RSS Landsat TM LAI Images of the SSA and NSA Data Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are well-known as two essential variables to describe the exchange of fluxes of energy, mass (e.g., water, nutrients, and carbon dioxide) and momentum between the surface and atmosphere .LAI, which is generally defined as one-sided green leaf area per unit ground area in broadleaf canopies Jing Ming Chen, Professor.
Home Campus: U of T St. George. PhD: Reading University, UK () Other Degrees: BSc Nanjing Institute of Meteorology, PR China () Data Set Identification BOREAS RSS Southern Study Area Jack Pine LAI and FPAR Data Data Set Introduction Estimates of Leaf Area Index (LAI) and fraction of Photosynthetically Active Radiation (FPAR) were made during the Focused Field Campaign in summer (FFC) and the second Intensive Field Campaign (IFC-2) in Related Data Sets BOREAS RSS-(_ It)_)4 Southern Study Area Jack Pine LAI and FPAR Data BOREAS RSS LAI.
Gap Fraction, and fPAR Data BOREAS RSS Regional LAI and FPAR Images From Ten-Day AVHRR-LAC Composites BOREAS RSS Landsat TM Maps of LAI and Fpar BOREAS RSS- 19 CASI At-sensor Radiance and Reflectance Images BOREAS RSS Southern Study Area Jack Pine LAI and fPAR Data BOREAS RSS LAI, Gap Fraction, and fPAR Data BOREAS TE Gas Exchange Data from Boreal Tree Species Publications Citing Boreal Ecosystem-Atmosphere Study (BOREAS) The following publications cited the Boreal Ecosystem-Atmosphere Study (BOREAS) project.
Year?pr=2. The BOREAS DSP-5 team generated a NPP image over the BOREAS region from a process-based ecosystem model, the Boreal Ecosystem Productivity Simulator (BEPS). The NPP image was created from a series of composited AVHRR images from April 11 - Septem This document describes how the NPP is generated.
The NPP data are stored in a binary image :// Jaime NICKESON of Science Systems and Applications, Inc., Maryland (SSAI) | Read 94 publications | Contact Jaime NICKESON BOREAS RSS-4 Southern Study Area Jack Pine LAI and FPAR Data BOREAS RSS Reflectance Measured from a Helicopter-Mounted SE MB * BOREAS RSS Jack Pine Leaf Biochemistry and Modeled Spectra in the SSA: MB * BOREAS RSS Southern Study Area Jack Pine LAI & FPAR Data: MB * BOREAS RSS LAI, Gap Fraction, and FPAR Data ?theme_id=2.
A Process-Based Boreal Ecosystem Productivity Simulator Using Remote Sensing Inputs J. Liu,' J. Chen, fi J. Cihlar, t and W M. Park f This paper describes a boreal ecosystems productivity simulator (BEPS) recently developed at the Canada Cen tre for Remote Sensing to assist in natural resources management and to estimate the carbon budget over Ca nadian landmass (IOh' :// BOREAS RSS Southern Study Area Jack Pine LAI & FPAR Data: BOREAS_R04LAIFD_ 1 BOREAS RSS LAI, Gap Fraction, and FPAR Data: BOREAS_R07ELAID_ 1 BOREAS RSS Landsat TM LAI Images of the SSA and NSA: BOREAS_RS7TMLAI_ 1 BOREAS RSS Regional LAI and FPAR Images From day AVHRR-LAC Composites.
BOREAS Information System, DAAC CDROM. 16 Pages. Chen, J. and X. Geng, BOREAS RSS LAI images from Landsat TM over Southern Study Area and Northern Study 's homepage/.
Directional gap probability or gap fraction is a basic parameter in the optical remote sensing modeling. Although some approaches have been proposed to estimate this gap probability from remotely sensed measurements, few efforts have been made to investigate the scaling effects of this parameter.
This paper analyzes the scaling effect through aggregating the high-resolution directional gap LAI/FPAR algorithm using the LASUR-AVHRR data.
The objectives were to analyze the global LAI/FPAR fields, and the situations when the algorithm failed, and to assess the influence of uncertainties in surface reflectances on the quality of the LAI/FPAR product. The algorithm was run pixel-by-pixel using LASUR and land cover BCM data, on allThe estimate of mean discrepancy (− ± for LAI and − ± for FPAR) meets the stability requirement for long-term LAI/FPAR Earth System Data Records (ESDRs) from multi-sensors as suggested by the Global Climate Observing System (GCOS).