About: The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C

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About: The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C Goto Sponge NotDistinct Permalink

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Attributes	Values
rdf:type	Item
description	artículu científicu (ast) wetenschappelijk artikel (nl) наукова стаття, опублікована в березні 1998 (uk) article scientifique publié en 1998 (fr) im März 1998 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58253573-8F088E95-B0EF-4834-9C06-8A92AC53573F
publication date	1998-03-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58253573-3931DF3B-FFA7-4D60-ACA0-CC9F4751060D wds:Q58253573-6943234D-5943-45DD-BDDB-C360085B796F
cites work	Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI) High Spatial Resolution Optical Image Texture for Improved Estimation of Forest Stand Leaf Area Index
author name string	wds:Q58253573-6764C0A5-A57E-4352-AA39-ED111624876E
author name string	M.A. Wulder
rdfs:label	The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (en) The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (nl)
skos:prefLabel	The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (en) The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (nl)
name	The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (en) The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (nl)
title	wds:Q58253573-0EF43F89-36B7-4E98-9C18-C364920CAF26
title	The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C (en)
page(s)	wds:Q58253573-4FA9F24C-1839-4237-B30F-02E59E003D73
page(s)	151-157
instance of	wds:Q58253573-26AACA75-A894-46DD-BB14-B13B3D6C6687
instance of	scholarly article
main subject	wds:Q58253573-63F79691-98BE-4A21-89AA-5F8A47B3C4C2 wds:Q58253573-F6A862C5-F6C3-489C-8F45-F45EF068C840
main subject	remote sensing leaf area index
published in	wds:Q58253573-85CA94DA-0A7B-4022-ACAB-CAEAC28300A9
published in	Computers and Geosciences
issue	wds:Q58253573-5EFDCE06-3F62-4486-901F-C1212B569222
volume	wds:Q58253573-1D1E7A28-9DCB-4995-B620-512C6A0D575E
issue	2
volume	24
DOI	wds:Q58253573-8031C699-5825-4158-9B34-09B4F6B1E2B0
DOI	http://dx.doi.org/10.1016/S0098-3004(97)00132-5
DOI	10.1016/S0098-3004(97)00132-5
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58253573
is cites work of	Forest inventory height update through the integration of lidar data with segmented Landsat imagery Local Spatial Autocorrelation Characteristics of Landsat TM Imagery of a Managed Forest Area Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI) Applicability of semi‐pro unmanned aircraft system for rapid archaeological documentation in forested areas An ARC/INFO Macro Language (AML) Polygon Update Program (PUP) Integrating Forest Inventory and Remotely-Sensed Data
is cites work of	wds:Q58253540-65CB6419-218E-4AF5-ACBE-8D0A0FAEB076 wds:Q119415270-5F65A51C-B7D4-4EA6-8664-4A3D671B9713 wds:Q58253563-0551FC78-9DA5-494C-B090-B8671DE53ADA wds:Q58253477-C81F12EF-9195-4546-AA2A-DBD4454A796F wds:Q58253554-FB8C96B2-044D-4A9D-A83D-FF76B67BE893

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