Correction: Anderson, H.B. et al. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation. Remote Sens. 2016, 8, 847

نویسندگان

  • Helen B. Anderson
  • Lennart Nilsen
  • Hans Tømmervik
  • Stein Rune Karlsen
  • Shin Nagai
  • Elisabeth J. Cooper
چکیده

Helen B. Anderson 1, Lennart Nilsen 1,*, Hans Tømmervik 2 ID , Stein Rune Karlsen 3, Shin Nagai 4 and Elisabeth J. Cooper 1 1 Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, University of Norway, NO-9037 Tromsø, Norway; [email protected] (H.B.A.); [email protected] (E.J.C.) 2 Norwegian Institute for Nature Research, FRAM-High North Centre for Climate and the Environment, P.O. Box 6606 Langnes, NO-9296 Tromsø, Norway; [email protected] 3 Norut Northern Research Institute, P.O. Box 6434, NO-9294 Tromsø, Norway; [email protected] 4 Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology, Kanazawa-ku, 236-0001 Yokohama, Japan; [email protected] * Correspondence: [email protected]; Tel.: +47-776-46314

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation

To remotely monitor vegetation at temporal and spatial resolutions unobtainable with satellite-based systems, near remote sensing systems must be employed. To this extent we used Normalized Difference Vegetation Index NDVI sensors and normal digital cameras to monitor the greenness of six different but common and widespread High Arctic plant species/groups (graminoid/Salix polaris; Cassiope tet...

متن کامل

Remote Sensing of Photosynthetic Parameters

Remote sensing cannot measure photosynthesis directly. However, remote sensing can provide information about parameters directly or indirectly connected to the photosynthetic activity of a plant or a vegetation canopy. Since the launch of the first earth resource satellite in 1972 researchers focused on the relationship between vegetation and its radiometric response. Comparisons of ground meas...

متن کامل

Non-destructive Method for Estimating Biomass of Plants Using Digital Camera Images

Abstract Plant growth and biomass assessments are required in production and research. Such assessments are followed by major decisions (e.g., harvest timing) that channel resources and influence outcomes. In research, resources required to assess crop status affect other aspects of experimentation and, therefore, discovery. Destructive harvests are important because they influence treatment s...

متن کامل

Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA

The Arctic is currently undergoing intense changes in climate; vegetation composition and productivity are expected to respond to such changes. To understand the impacts of climate change on the function of Arctic tundra ecosystems within the global carbon cycle, it is crucial to improve the understanding of vegetation distribution and heterogeneity at multiple scales. Information detailing the...

متن کامل

Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing

The impact of a rapidly changing climate on the biosphere is an urgent area of research for mitigation policy and management. Plant phenology is a sensitive indicator of climate change and regulates the seasonality of carbon, water, and energy fluxes between the land surface and the climate system, making it an important tool for studying biosphere–atmosphere interactions. To monitor plant phen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Remote Sensing

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2017