Asian Surveying & Mapping
Breaking News
The Hong Kong Institute of Surveyors Annual Conference 2021 Explores the new reality of surveying industry
HONG KONG SAR - The Hong Kong Institute of...
Israeli indoor UAS system submitted to US Special Ops Command for evaluation
Israel's Robotican, based in Omer, has successfully delivered its...
Chinese mapping tech firm Luokung makes $32.8 mln direct share offering
Chinese mapping technology company Luokung Technology Corp said on...
Luokung Announces eMapgo Signs Cooperation Agreement with Microsoft for Launch of Autonomous Driving Services
BEIJING - Luokung Technology Corp. (NASDAQ: LKCO) ("Luokung" or the...
SLA launches OneMap3D; signs MOUs with PropNex, Ninja Van and Kabam to further the use of OneMap
SINGAPORE (EDGEPROP) - Singapore Land Authority (SLA) has launched...
Agrowing and Senseacre Labs partner for enhancing aerial remote sensing from NDVI to Deep Learning AI Precision Agriculture” solutions in India
MADHAPUR, INDIA AND RISHON LEZION, ISRAEL Senseacre Labs, selected...
Singapore Geospatial Festival 2021
Virtual line-up of geospatial interest and capabilities, knowledge-seeding by...
ISRO Invites Applications from Students for Two-week Free Online Course on Remote Sensing and GIS Technology
ISRO, through its centre the Indian Institute of Remote...
Rajnath Singh unveils South Asia’s largest Genomics research centre in Hyderabad
Hyderabad: Nucleome on Thursday unveiled South Asia’s largest and most...
New satellite system could improve Australia’s water quality management
An analysis carried out by the University of New...
panda_1

The study, which was conducted from 1999 through 2003, worked to count every panda living in the wild, uncovering 40% more than were thought to exist. The scale of the study, and the data, weren’t studied before for favored habitat, and it was found that pandas prefer old growth forests that have never been logged. Other factors traditionally used in panda habitat models, such as topographic slope, are less important.

“But maps and measures of habitat suitability are only as good as the underlying biological assumptions, which are sometimes influenced by the scale over which data are obtained, ” states the study. “Modellers of panda habitat have not ignored the available ecological data but have been forced to rely on data collected over limited temporal and spatial scales.”

You can view the complete text of the study here.