Bio-productivity ofPinus sylvestris L. var.mongolica plantation on west Kerqin sandy land

1998 ◽  
Vol 9 (4) ◽  
pp. 245-248 ◽  
Author(s):  
Zheng Jingming ◽  
Ren Hengde ◽  
Meng Kangmin
Keyword(s):  
Sandy Land ◽  
Kerqin Sandy Land

Analysis on Coupling Degree among Crop Evapotranspiration, Effective Precipitation and Water Requirement of Corn on Southern Kerqin Sandy Land in China

2013 ◽  
Vol 742 ◽  
pp. 331-336
Author(s):  
Ning Yang ◽  
Zhan Xiang Sun ◽  
Jia Ming Zheng ◽  
Dao Cai Chi
Keyword(s):  
Crop Coefficient ◽  
Growing Season ◽  
Water Requirement ◽  
Weather Data ◽  
Growth Stages ◽  
Sandy Land ◽  
Crop Evapotranspiration ◽  
Irrigation Frequency ◽  
Agricultural Water Management ◽  
Kerqin Sandy Land

Historical characteristics of crop evapotranspiration and irrigation requirement were the bases for determining the irrigation quota in local areas. Based on the trials of two years, crop evapotranspiration and crop coefficient of corn at monthly growth stages were determined and tested by soil water balance method in Fuxin of the southern kerqin sandy land. Using the weather data in Fuxin and Chaoyang from 1953 to 2009, estimated the coupling degree between crop water requirement of λ and apply irrigation water (ETaw) in growing season under three hydrologic years (P=25%,50%and75%).Under the humid year (25%),λ (0.756) in Fuxin was more suitable than Chaoyang (0.694),ETaw(95.5mm) in Fuxin was lower than Chaoyang (148.7mm);under the normal year (50%),λ(0.622) in Fuxin was close to Chaoyang (0.647),ETaw(180.4mm) in Fuxin was higher than Chaoyang (154mm); under droughty year (75%), λ (0.574) in Fuxin was also more suitable than Chaoyang (0.523),ETaw (204.8mm) in Fuxin was also lower than Chaoyang (245mm). The monthly change of λ and ETaw were sharping and influenced irrigation frequency in the growing season of humid and droughty year. The method and results can be further applied to agricultural water management study and guide irrigation in other same regions.

Effectiveness of sand-fixing measures on desert land restoration in Kerqin Sandy Land, northern China

2009 ◽  
Vol 35 (1) ◽  
pp. 118-127 ◽  
Author(s):  
Yulin Li ◽  
Jianyuan Cui ◽  
Tonghui Zhang ◽  
Toshiya Okuro ◽  
Sam Drake
Keyword(s):  
Northern China ◽  
Sandy Land ◽  
Land Restoration ◽  
Kerqin Sandy Land

Effect of using polymeric materials in ecological sand-fixing of Kerqin Sandy Land of China

2016 ◽  
Vol 133 (43) ◽  
Author(s):  
Wei Gong ◽  
Yunxiao Zang ◽  
Bailing Liu ◽  
Hualin Chen ◽  
Fusheng Wu ◽  
...  
Keyword(s):  
Polymeric Materials ◽  
Sandy Land ◽  
Kerqin Sandy Land

Characteristics of Soil Seed Bank of Caragana microphylla Community under the Grazing and Enclosure Conditions in Horqin Sandy Land

2010 ◽  
Vol 26 (5) ◽  
pp. 714-719
Author(s):  
Ming LI ◽  
De-ming JIANG ◽  
Yong-ming LUO ◽  
Xiu-mei WANG ◽  
Bo LIU ◽  
...  
Keyword(s):  
Seed Bank ◽  
Soil Seed Bank ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Caragana Microphylla

scholarly journals A Novel Unsupervised Classification Method for Sandy Land Using Fully Polarimetric SAR Data

2021 ◽  
Vol 13 (3) ◽  
pp. 355
Author(s):  
Weixian Tan ◽  
Borong Sun ◽  
Chenyu Xiao ◽  
Pingping Huang ◽  
Wei Xu ◽  
...  
Keyword(s):  
Spectral Clustering ◽  
Large Scale ◽  
Clustering Algorithm ◽  
Feature Vector ◽  
Unsupervised Classification ◽  
Classification Method ◽  
Sandy Land ◽  
Classification Methods ◽  
The Many ◽  
Representative Points

Classification based on polarimetric synthetic aperture radar (PolSAR) images is an emerging technology, and recent years have seen the introduction of various classification methods that have been proven to be effective to identify typical features of many terrain types. Among the many regions of the study, the Hunshandake Sandy Land in Inner Mongolia, China stands out for its vast area of sandy land, variety of ground objects, and intricate structure, with more irregular characteristics than conventional land cover. Accounting for the particular surface features of the Hunshandake Sandy Land, an unsupervised classification method based on new decomposition and large-scale spectral clustering with superpixels (ND-LSC) is proposed in this study. Firstly, the polarization scattering parameters are extracted through a new decomposition, rather than other decomposition approaches, which gives rise to more accurate feature vector estimate. Secondly, a large-scale spectral clustering is applied as appropriate to meet the massive land and complex terrain. More specifically, this involves a beginning sub-step of superpixels generation via the Adaptive Simple Linear Iterative Clustering (ASLIC) algorithm when the feature vector combined with the spatial coordinate information are employed as input, and subsequently a sub-step of representative points selection as well as bipartite graph formation, followed by the spectral clustering algorithm to complete the classification task. Finally, testing and analysis are conducted on the RADARSAT-2 fully PolSAR dataset acquired over the Hunshandake Sandy Land in 2016. Both qualitative and quantitative experiments compared with several classification methods are conducted to show that proposed method can significantly improve performance on classification.

Analysis on Water Use Strategies of Natural Poplar in Hunshandake Sandy Land, China

2020 ◽  
Author(s):  
Debin Jia ◽  
Xuesong Li ◽  
Yuqiang Zhang ◽  
Yun Feng ◽  
Dong Liu
Keyword(s):  
Water Use ◽  
Sandy Land
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