Abstract Gross primary productivity (GPP) is the largest flux in global terrestrial carbon cycle. Drought has significantly impacted GPP recent decades, and been projected to occur with increasing frequency intensity. However, drought risk of not well investigated. In this study, during 1981–2016 was simulated process‐based Boreal Ecosystem Productivity Simulator model. Then, quantified as product probability reduction caused by drought, which determined using standardized precipitation...

Mango is a commercial crop on Hainan Island, China, that cultivated to develop the tropical rural economy. The development of accurate and up-to-date maps spatial distribution mango plantations necessary for agricultural monitoring decision management by local government. Pixel-based object-oriented image analysis methods mapping were compared using two machine learning algorithms (support vector (SVM) Random Forest (RF)) based Chinese high-resolution Gaofen-1 (GF-1) imagery in parts Island....

Betel palms and mango plantations are two crucial commercial crops in tropical agricultural areas. Accurate spatial distributions of these essential regional planning management. However, the characteristics small patches, scattering, perennation make it challenging to map betel complex regions. Furthermore, excessive features very-high-resolution (VHR) imaging might lead a reduction classification accuracy an increase computation times. To address challenges, we selected five feature...

The Shelterbelt Forest System Program in northeast, north and northwest China (the Three-North Program, TNSP) is the largest ecological reforestation program world. TNSP vegetation research has important meaning profound social economic significance. Here, spatio-temporal variation cover under was examined using NDVI average method, major climatic factors such as temperature precipitation, linear regression trend analysis from 1982 to 2006. We found that past 25 years, study area...

Climate changes are likely to increase the risk of numerous extreme weather events throughout world. The objectives this study were investigate and analyze temporal-spatial variability patterns temperature extremes based on daily maximum (TX) minimum (TN) data collected from 49 meteorological stations in Xinjiang China during 1960–2015. These also used assess impacts altitude extremes. Additionally, possible teleconnections with large-scale circulation pattern (the El Nino-Southern...

Using the Moderate Resolution Imaging Spectroradiometer-normalized difference vegetation index (NDVI) dataset, we analyzed predicted NDVI values variation and influence of human activities on Hainan Island during 2001-2015. We investigated roles in variation, particularly from 2002 when implemented Grain-for-Greenprogram Island. The trend analysis, linear regression model residual analysis were used to analyze data. results study showed that (1) an general upward with a growth rate...

The leaf area index (LAI) is an important parameter for describing the growth status and canopy structure of vegetation. rapid accurate acquisition vegetation or agroforestry LAI has great scientific significance in ecological ecosystems research a very practical value guiding agricultural forestry production. In this study, typical tropical crops (rubber forest) Hainan Island were selected as area, empirical neural network (NN) estimation models rubber forest constructed based on satellite...

This article describes the invention and development of electronic nose technology. According to International domestic technology situation in recent years based on basis for mango, banana, papaya other typical tropical crops products, example, have quality identification detection experiment with Agricultural sideline products .Compare PCA-BP LDA-BP neural network recognition effect Design a conceived program. which is professional portable systems, Specifically Hainan's agricultural inspection.

Due to increasing global demand for natural rubber products, (Hevea brasiliensis) plantation expansion has occurred in many regions where it was originally considered unsuitable. However, accurate maps of plantations are not available, which substantially constrain our understanding the environmental and socio-economic impacts expansion. In this study, mapped from Landsat satellite imagery based on object-oriented classification method Yangjiang State Farm Hainan Island 2010. The results...

Typhoon is one of the most sever natural disasters. Monitoring typhoon timely and quickly very significance for Agricultural disaster assessment post-disaster reconstruction. HJ-1 CCD remote sensing images were used to study changes before after intrusion, taking NO.17 severe Nesat 2011 as an example. Selected two images, including July 8th, Dec. 25th, 2011, then extracted NDVI RVI information 7 farms with course image pretreatment vector cutting. Subsequently, from 5th, 27th, 2010...

GIMMS/NDVI was selected as the data source in this paper. The spatio-temporal variation of vegetation cover study area monitored by employ NDVI average, retrieval and linear regression trend analysis methods. results show that: has an entirely rising with rate 0.007/10a. Especially growth Sandy Area, Northeast north China plain were obvious, but Northwest Desert Area a subtle declining tendency. Vegetation coverage areas have been increased almost (higher lower) 2.64% 10.86% total area,...

In this paper GIMMS/NDVI data was utilized to analyze the vegetation cover characteristcs of spatio-temporal variation and its response temperature precipitation change in Northwest China during 1982 2006.The results show that: annual average NDVI has been increased with an rate 0.5%/10a Northwestern China,the significant July,August October.The Xinjiang Tianshan,Artai Mountains,Gansu Qilian Mountains eastern part Qinghai;and it declined from Germu Yushu Qinghai,most parts Shaanxi Talimu...