Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology

Bibliographic Details
Main Author: Doktor, Daniel
Published: Imperial College London 2008
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498008
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spelling ndltd-bl.uk-oai-ethos.bl.uk-4980082015-03-20T06:16:10ZUsing satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenologyDoktor, Daniel2008551.5Imperial College Londonhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498008Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 551.5
spellingShingle 551.5
Doktor, Daniel
Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
author Doktor, Daniel
author_facet Doktor, Daniel
author_sort Doktor, Daniel
title Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
title_short Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
title_full Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
title_fullStr Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
title_full_unstemmed Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
title_sort using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
publisher Imperial College London
publishDate 2008
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498008
work_keys_str_mv AT doktordaniel usingsatelliteimageryandgroundobservationstoquantifytheeffectofintraannuallychangingtemperaturepatternsonspringtimephenology
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