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

Nitrogen-regulated effects of free-air CO2 enrichment on methane emissions from paddy rice fields

2006 ◽  
Vol 12 (9) ◽  
pp. 1717-1732 ◽  
Author(s):  
XUNHUA ZHENG ◽  
ZAIXING ZHOU ◽  
YUESI WANG ◽  
JIANGUO ZHU ◽  
YULONG WANG ◽  
...  
Keyword(s):  
Co2 Enrichment ◽  
Methane Emissions ◽  
Paddy Rice ◽  
Rice Fields ◽  
Free Air Co2 Enrichment ◽  
Free Air

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 Effects of production and oxidation processes on methane emissions from rice fields

1998 ◽  
Vol 103 (D19) ◽  
pp. 25233-25239 ◽  
Author(s):  
M. A. K. Khalil ◽  
R. A. Rasmussen ◽  
M. J. Shearer
Keyword(s):  
Methane Emissions ◽  
Rice Fields ◽  
Oxidation Processes

scholarly journals Methane emissions from global rice fields: Magnitude, spatiotemporal patterns, and environmental controls

2016 ◽  
Vol 30 (9) ◽  
pp. 1246-1263 ◽  
Author(s):  
Bowen Zhang ◽  
Hanqin Tian ◽  
Wei Ren ◽  
Bo Tao ◽  
Chaoqun Lu ◽  
...  
Keyword(s):  
Methane Emissions ◽  
Rice Fields ◽  
Spatiotemporal Patterns ◽  
Environmental Controls

Mitigation Options for Methane Emissions from Rice Fields

1995 ◽  
pp. 136-144 ◽  
Author(s):  
H.-U. Neue ◽  
R. Wassmann ◽  
R. S. Lantin
Keyword(s):  
Methane Emissions ◽  
Rice Fields ◽  
Mitigation Options

scholarly journals Influence of Surface Reflection (Albedo) in Simulating the Sun Drying of Paddy Rice

2020 ◽  
Vol 10 (15) ◽  
pp. 5092
Author(s):  
Ana Salvatierra-Rojas ◽  
Victor Torres-Toledo ◽  
Joachim Müller
Keyword(s):  
Field Experiments ◽  
Positive Impact ◽  
Weather Conditions ◽  
The Philippines ◽  
Paddy Rice ◽  
The Sun ◽  
Transient Model ◽  
Surface Reflection ◽  
Sun Drying ◽  
Drying Model

The sun drying of agricultural products is a complicated process involving heat transfer, mass transfer, and variable weather conditions. Surface reflection (albedo), a crop’s radiative property, plays an essential role in energy balance, and understanding its contribution can improve the thermal analysis. In this study, field experiments were conducted in the Philippines to explore the influence of surface albedo on the sun drying of paddy rice. First, we implemented energy and mass balance equations in a transient model with the surroundings using a graphical programming language in Matlab/Simulink®. Second, we identified the influence of albedo on the sun drying model by using a sensitivity analysis. Third, we investigated the relationship of paddy rice albedo and the solar zenith angle. Lastly, we integrated the albedo function into the sun drying model. The simulation outputs were validated with field experiments. A better estimation of the measured exit temperature and instantaneous mass were obtained when a variable albedo was applied. This study makes clear that introducing a variable albedo has a positive impact on model improvement. This information is important for application in solar drying technologies, so that the drying process can be better assessed.

Sign in / Sign up

Export Citation Format

Share Document