scholarly journals Comparison of Methods for Estimating Fractional Cover of Photosynthetic and Non-Photosynthetic Vegetation in the Otindag Sandy Land Using GF-1 Wide-Field View Data

2016 ◽  
Vol 8 (10) ◽  
pp. 800 ◽  
Author(s):  
Xiaosong Li ◽  
Guoxiong Zheng ◽  
Jinying Wang ◽  
Cuicui Ji ◽  
Bin Sun ◽  
...  
Keyword(s):  
Wide Field ◽  
Comparison Of Methods ◽  
Sandy Land ◽  
Fractional Cover ◽  
Field View ◽  
Otindag Sandy Land ◽  
Land Using

Consistency analysis of GF-1 and GF-6 satellite wide field view multi-spectral band reflectance

Optik ◽  
2021 ◽  
Vol 231 ◽  
pp. 166414
Author(s):  
Liang Guo ◽  
Yang Liu ◽  
Huagui He ◽  
Hong Lin ◽  
Guangxin Qiu ◽  
...  
Keyword(s):  
Spectral Band ◽  
Wide Field ◽  
Consistency Analysis ◽  
Field View

scholarly journals Spatiotemporal Variation of Vegetation Coverage and Its Response to Climate Factors and Human Activities in Arid and Semi-Arid Areas: Case Study of the Otindag Sandy Land in China

2020 ◽  
Vol 12 (12) ◽  
pp. 5214 ◽  
Author(s):  
Hao Wang ◽  
Fei Yao ◽  
Huasheng Zhu ◽  
Yuanyuan Zhao
Keyword(s):  
Human Factors ◽  
Human Activities ◽  
Vegetation Dynamics ◽  
Spatiotemporal Variation ◽  
Vegetation Coverage ◽  
Arid Areas ◽  
Climate Factors ◽  
Sandy Land ◽  
Otindag Sandy Land ◽  
Semi Arid

Vegetation coverage is a key variable in terrestrial ecosystem monitoring and climate change research and is closely related to soil erosion and land desertification. In this article, we aimed to resolve two key scientific issues: (1) quantifying the spatial-temporal vegetation dynamics in the Otindag Sandy Land (OSL); and (2) identifying the relative importance of climate factors and human activities in impacting vegetation dynamics. Based on correlation analysis, simple regression analysis, and the partial derivative formula method, we examined the spatiotemporal variation of vegetation coverage in the OSL, belonging to the arid and semiarid region of northern China, and their interaction with climate-human factors. The results showed that the vegetation coverage of the area showed a downward trend with a rate of −0.0006/a during 2001–2017, and gradually decreased from east to west. Precipitation was the main climate factor controlling the overall distribution pattern of vegetation coverage, while the human factors had a more severe impact on the vegetation coverage than the climate factors in such a short period, and the overall impact was negative. Among the human factors, population pressure, urbanization, industrialization, pastoral production activities, and residents’ lifestyles had a negative impact. However, ecological restoration polices alleviated the contradiction between human development and vegetation deterioration. The results of this article provide a scientific basis for restoring grassland systems in arid and semi-arid areas

scholarly journals Wide Swath Stereo Mapping from Gaofen-1 Wide-Field-View (WFV) Images Using Calibration

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 739 ◽  
Author(s):  
Shoubin Chen ◽  
Jingbin Liu ◽  
Wenchao Huang ◽  
Ruizhi Chen
Keyword(s):  
Wide Field ◽  
Field View ◽  
Wide Swath

A WIDE-FIELD VIEW FUNDUS CONTACT LENS FOR INFANTS

Retina ◽  
1998 ◽  
Vol 18 (1) ◽  
pp. 91-92
Author(s):  
HIDEYUKI HAYASHI ◽  
KENJI OSHIMA
Keyword(s):  
Contact Lens ◽  
Wide Field ◽  
Field View

scholarly journals A Wide-Field View of Leo II: A Structural Analysis Using the Sloan Digital Sky Survey

2007 ◽  
Vol 134 (5) ◽  
pp. 1938-1951 ◽  
Author(s):  
Matthew G. Coleman ◽  
Katrin Jordi ◽  
Hans-Walter Rix ◽  
Eva K. Grebel ◽  
Andreas Koch
Keyword(s):  
Structural Analysis ◽  
Sloan Digital Sky Survey ◽  
Wide Field ◽  
Sky Survey ◽  
Field View

Optical Design of Wide Field View and Large Relative Aperture Off-axis Three-mirror Reflective System with Tilted Optical Axis

2019 ◽  
Vol 48 (3) ◽  
pp. 322002
Author(s):  
刘强 LIU Qiang ◽  
王欣 WANG Xin ◽  
黄庚华 HUANG Geng-hua ◽  
舒嵘 SHU Rong
Keyword(s):  
Optical Axis ◽  
Optical Design ◽  
Wide Field ◽  
Field View ◽  
Reflective System
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