Spatial variability of soil available Zn and Cu in paddy rice fields of China

2007 ◽  
Vol 55 (7) ◽  
pp. 1569-1576 ◽  
Author(s):  
Xingmei Liu ◽  
Jianming Xu ◽  
Minghua Zhang ◽  
Bingcheng Si ◽  
Keli Zhao
Keyword(s):  
Spatial Variability ◽  
Paddy Rice ◽  
Rice Fields ◽  
Zn And Cu In

Emergence of Weeds in Paddy Rice Fields

1975 ◽  
Vol 20 (3) ◽  
pp. 109-113 ◽  
Author(s):  
Mitsuyoshi SUZUKI ◽  
Takahisa SUTO
Keyword(s):  
Paddy Rice ◽  
Rice Fields

scholarly journals Cloud Cover throughout All the Paddy Rice Fields in Guangdong, China: Impacts on Sentinel 2 MSI and Landsat 8 OLI Optical Observations

2021 ◽  
Vol 13 (15) ◽  
pp. 2961
Author(s):  
Rui Jiang ◽  
Arturo Sanchez-Azofeifa ◽  
Kati Laakso ◽  
Yan Xu ◽  
Zhiyan Zhou ◽  
...  
Keyword(s):  
Cloud Cover ◽  
Southern China ◽  
Vegetation Indices ◽  
Paddy Rice ◽  
Rice Fields ◽  
Optical Observations ◽  
Landsat 8 ◽  
Monthly Basis ◽  
Satellite Sensors ◽  
Sentinel 2

Cloud cover hinders the effective use of vegetation indices from optical satellite-acquired imagery in cloudy agricultural production areas, such as Guangdong, a subtropical province in southern China which supports two-season rice production. The number of cloud-free observations for the earth-orbiting optical satellite sensors must be determined to verify how much their observations are affected by clouds. This study determines the quantified wide-ranging impact of clouds on optical satellite observations by mapping the annual total observations (ATOs), annual cloud-free observations (ACFOs), monthly cloud-free observations (MCFOs) maps, and acquisition probability (AP) of ACFOs for the Sentinel 2 (2017–2019) and Landsat 8 (2014–2019) for all the paddy rice fields in Guangdong province (APRFG), China. The ATOs of Landsat 8 showed relatively stable observations compared to the Sentinel 2, and the per-field ACFOs of Sentinel 2 and Landsat 8 were unevenly distributed. The MCFOs varied on a monthly basis, but in general, the MCFOs were greater between August and December than between January and July. Additionally, the AP of usable ACFOs with 52.1% (Landsat 8) and 47.7% (Sentinel 2) indicated that these two satellite sensors provided markedly restricted observation capability for rice in the study area. Our findings are particularly important and useful in the tropics and subtropics, and the analysis has described cloud cover frequency and pervasiveness throughout different portions of the rice growing season, providing insight into how rice monitoring activities by using Sentinel 2 and Landsat 8 imagery in Guangdong would be impacted by cloud cover.

scholarly journals Application of a Self-Organizing Map of Isotopic and Chemical Data for the Identification of Groundwater Recharge Sources in Nasunogahara Alluvial Fan, Japan

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 278 ◽  
Author(s):  
Takeo Tsuchihara ◽  
Katsushi Shirahata ◽  
Satoshi Ishida ◽  
Shuhei Yoshimoto
Keyword(s):  
Groundwater Recharge ◽  
Groundwater Resources ◽  
Paddy Rice ◽  
Alluvial Fan ◽  
Rice Fields ◽  
Isotopic Ratios ◽  
Self Organizing Map ◽  
Recharge Sources ◽  
Different Origins ◽  
Self Organizing

Paddy rice fields on an alluvial fan not only use groundwater for irrigation but also play an important role as groundwater recharge sources. In this study, we investigated the spatial distribution of isotopic and hydrochemical compositions of groundwater in the Nasunogahara alluvial fan in Japan and applied a self-organizing map (SOM) to characterize the groundwater. The SOM assisted with the hydrochemical and isotopic interpretation of the groundwater in the fan, and clearly classified the groundwater into four groups reflecting the different origins. Two groundwater groups with lower isotopic ratios of water than the mean precipitation values in the fan were influenced by the infiltration of river water flowing from higher areas in the catchments and were differentiated from each other by their Na+ and Cl− concentrations. A groundwater group with higher isotopic ratios was influenced by the infiltration of paddy irrigation water that had experienced evaporative isotopic enrichment. Groundwater in the fourth group, which was distributed in the upstream area of the fan where dairy farms dominated, showed little influence of recharge waters from paddy rice fields. The findings of this study will contribute to proper management of the groundwater resources in the fan.

scholarly journals Geostatistical Analysis of Yield, Soil Properties and Crop Management Practices in Paddy Rice Fields

2004 ◽  
Vol 7 (2) ◽  
pp. 230-239 ◽  
Author(s):  
Tatsuya Inamura ◽  
Kei Goto ◽  
Michihisa Iida ◽  
Kazuyoshi Nonami ◽  
Hiromo Inoue ◽  
...  
Keyword(s):  
Soil Properties ◽  
Management Practices ◽  
Crop Management ◽  
Paddy Rice ◽  
Geostatistical Analysis ◽  
Rice Fields

Modeling methane emissions from paddy rice fields under elevated atmospheric carbon dioxide conditions

2009 ◽  
Vol 27 (1) ◽  
pp. 100-114 ◽  
Author(s):  
Baohua Xie ◽  
Zaixing Zhou ◽  
Xunhua Zheng ◽  
Wen Zhang ◽  
Jianguo Zhu
Keyword(s):  
Carbon Dioxide ◽  
Atmospheric Carbon Dioxide ◽  
Methane Emissions ◽  
Paddy Rice ◽  
Rice Fields ◽  
Elevated Atmospheric Carbon Dioxide ◽  
Atmospheric Carbon

Horizontal and vertical water and solute fluxes in paddy rice fields

2007 ◽  
Vol 94 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Manon Janssen ◽  
Bernd Lennartz
Keyword(s):  
Paddy Rice ◽  
Rice Fields ◽  
Solute Fluxes

Diurnal patterns of methane emissions from paddy rice fields in the Philippines

2015 ◽  
Vol 178 (5) ◽  
pp. 755-767 ◽  
Author(s):  
Sebastian Weller ◽  
David Kraus ◽  
Klaus Butterbach-Bahl ◽  
Reiner Wassmann ◽  
Agnes Tirol-Padre ◽  
...  
Keyword(s):  
Methane Emissions ◽  
The Philippines ◽  
Paddy Rice ◽  
Rice Fields ◽  
Diurnal Patterns

Examination of mass honey bee death at the entrance to hives in a paddy rice production district in Japan: the influence of insecticides sprayed on nearby rice fields

2014 ◽  
Vol 53 (5) ◽  
pp. 599-606 ◽  
Author(s):  
Kiyoshi Kimura ◽  
Mikio Yoshiyama ◽  
Kana Saito ◽  
Keijiro Nirasawa ◽  
Masumi Ishizaka
Keyword(s):  
Honey Bee ◽  
Paddy Rice ◽  
Rice Production ◽  
Rice Fields
Sign in / Sign up

Export Citation Format

Share Document