Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models

Name: Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models
Brand: Springer Nature
SKU: 9789400905092
Availability: InStock

Best Price:
Buy Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models for $39.99 at @ Link.springer.com
No coupon is required — this is the standard retail price.

Set a price drop alert to never miss an offer.

1 Offer Price Range: $39.99 - $39.99

BEST PRICE

Single Product Purchase

$39.99

@ Link.springer.com BUY Now

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com		$39.99	$39.99			$39.99		See Site	In stock	Visit Store

Product Details

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9789400905092

Condition

New

Product Description

The power of microwave remote sensing for studying the oceans of the world was demonstrated conclusively by the SEASAT mission in 1978. Since then, no further satellite-flown instruments have been available to provide further data of this type. However, the proposed launch of ESA's ERS-1 satellite will lead to a new set of active microwave instruments being flown in space in 1990. Even though similar data has been obtained from aircraft-flown instruments SAR, scatterometers, altimeters etc. - a great deal of activity has been taking place to develop the necessary expertise in handling and analysing such data when it comes on-stream from ERS-1 and from subsequent satellites. It was against this background that the scientific Affairs Division of NATO again agreed to sponsor an ASI in Dundee in 1988. Its purpose was to review existing knowledge of the extraction of marine and atmospheric geophysical parameters from satellite-gathered microwave data and to enable scientists to prepare themselves and their computing systems to utilise the new data when it becomes available. The importance of the data is largely as input parameters to assist in the fitting of boundary conditions in large computer models. The course was concerned more with the non-imaging instruments, that is with passive radiometers, altimeters and scatterometers, than with the (imaging) synthetic aperture radar.

Available Colors

N/A

Available Sizes

N/A