The Natural Resources Geographic Information System (NRGIS) Library is a Geographic Information System (GIS) repository developed and maintained by the GIS Section of the Iowa Department of Natural Resources (DNR). It is a collection of more than 20,000 geographically referenced databases. The purpose of the NRGIS Library is to improve the availability, integration, and analysis of natural resource information and improve decisions to carry out agency responsibilities related to the management, protection and development of Iowa's natural resources. The NRGIS Library is seen as a one-stop repository for all of Iowa's natural resource, geographic information.

This High Resolution Landcover product was derived from three dates of aerial imagery, and from elevation information derived from LiDAR elevation data. It has a spatial resolution of one meter, and a class resolution of 15 classes. The target year for the interpretation of the classification is 2009. The Imagery sources are the 2008 NAIP imagery, the 2009 NAIP imagery, and the Four band Spring imagery collected in 2007, 2009 and 2010. Three dates were used because previous experimentation had shown that using fewer dates lacked sufficient spectral information to produce a reasonably consistent classification at the level required.

Because each of these imagery layers were collected at widely different dates, to produce consistent classifications required breaking the state into regions or "tiles" with consistent spectral character. More than 580 such tiles were utilized statewide. Each was independently processed, and separately interpreted and checked. The final products were mosaicked together, then broken out into county files, which is how the files are presented in the NRGIS Library. Although we have done the best job we could to maintain consistency between these many files, it is impossible to maintain absolute consistency in even a small set of files, let alone this large number.

The LiDAR data utilized was created by subtracting the Bare Earth DEM from the First Return DEM, yielding a normalized elevation model, which represents the elevation above ground surface of buildings, trees and other vegetation. This layer made an important contribution to producing an accurate classification of buildings and forests.

A series of post classification steps were performed to correct problems which were consistent enough to be remedied by this kind of solution. These included embedding rasterized roads, recoding certain shadows, and using the LiDAR to refine building footprints, among others. See processing steps for more information.

Financial overview and grant giving statistics of Nargis Wa Fatima Inc.

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Nargis Naz.

Financial overview and grant giving statistics of Nargis Dutt Memorial Foundation Inc.

Données lépidoptères du parc PV de Nargis

Credit report of Nargis Akhtar, 29 Moody Street Lond contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Uždaroji akcinė bendrovė "NARGIS IR KO" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

"The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata

Plan Local d'Urbanisme (PLU) numérisé. Ce lot informe du droit à bâtir sur la commune de NARGIS. Ce PLU est numérisé conformément aux prescriptions nationales du CNIG.

The 500 year flood zone was extracted from the Digital Flood Insurance Map data using the flood zone code. "The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available." -- source: metadata

Prévision météorologique de la ville de Nargis par Météo Villes

Crimes, délits et actes de délinquance par année à Nargis, par type de crimes et de délits, ration crimes et délit pour 1000 habitants.

Evolution des naissances en France de bébés féminins portant le prénom Nargis entre 1984 et 2005

Données flore du parc PV de Nargis

♾️ 메콩 오픈 개발

Données oiseau du projet PV de Nargis

Données mammifères hors chiroptères du parc PV de Nargis

Données orthoptères du parc PV de Nargis