Natural land cover information is important for analysing and understanding of the current terrestrial situation, especially in the study area that is facing the environmental deteriorating increasingly. The study com...Natural land cover information is important for analysing and understanding of the current terrestrial situation, especially in the study area that is facing the environmental deteriorating increasingly. The study combined the remote sensing Aster data and ground truth to improve 2001 land cover map of Guadalteba area in Spain, and increased the accuracy from 47% to 70%. The general land cover map produced about the Guadalteba study area outlines the distribution of the vegetation type and the current natural land cover in the area. Based on this improved general land cover map, the natural cover map gave an indication of the present location of nature and agriculture areas. The shrub land degradation map identified location of various shrub/matorral areas and different levels of degradation. The further analysis and discussion were done. The output maps indicated that much of the natural cover mostly dominated by formations of shrubs has been changed to agriculture and other land uses. It is observed that shrubland covers a small percentage, approximately 9% of the study area, due to land degradation in most parts caused by human interfere. Keywords Accuracy assessment - Aster - Land cover map - Matorral degradation map - Remote Sensing CLC number S757.3 Document code A Foundation item: This paper was partly sponsored by NFP (Netherlands Feliowship Program) and National Strategic Project “Environmentally Sound Forest Management Techniques and Models in Natural Forest in Northeast China” (2001BA510B0702) respectively.Biography: XING Yan-qiu (1970-), female, Lecturer, in College of Engi neering and technology Northeast Forestry University. Harbin 150040. P. R. ChinaResponsible editor: Song Funan展开更多
[Objective] The aim was to explore a suitable cultivation approach for cassava in Hunan province. [Method] With SC9(Southern China 9) as test materials, the test included four treatment methods, as follows: control gr...[Objective] The aim was to explore a suitable cultivation approach for cassava in Hunan province. [Method] With SC9(Southern China 9) as test materials, the test included four treatment methods, as follows: control group by traditional cultivation with crops uncovered(CK), treatment 1 by traditional cultivation with mulch coverage, treatment 2 by powder ridge cultivation with crops uncovered, and treatment 3 by powder ridge cultivation with mulch coverage. Water and fertilizer managements were kept the same. [Result] Compared with traditional cultivation(CK), the treatment by powder ridge cultivation with mulch coverage performed better. Specifically, yield per unit area reached 44 790 kg/hm2, increasing by 86.38%(20 760 kg/hm2) than that of control; starch content grew by 17.24%. The cultivation method considerably improved cassava yield and quality. [Conclusion] Powder ridge cultivation with mulch coverage is a cultivation approach suitable for cassava in Hunan province.展开更多
基金This paper was partly sponsored by NFP (Netherlands Fellowship Program) and National Strategic Project 揈nvironmentally Sound Forest Management Techniques and Models in Natural Forest in
文摘Natural land cover information is important for analysing and understanding of the current terrestrial situation, especially in the study area that is facing the environmental deteriorating increasingly. The study combined the remote sensing Aster data and ground truth to improve 2001 land cover map of Guadalteba area in Spain, and increased the accuracy from 47% to 70%. The general land cover map produced about the Guadalteba study area outlines the distribution of the vegetation type and the current natural land cover in the area. Based on this improved general land cover map, the natural cover map gave an indication of the present location of nature and agriculture areas. The shrub land degradation map identified location of various shrub/matorral areas and different levels of degradation. The further analysis and discussion were done. The output maps indicated that much of the natural cover mostly dominated by formations of shrubs has been changed to agriculture and other land uses. It is observed that shrubland covers a small percentage, approximately 9% of the study area, due to land degradation in most parts caused by human interfere. Keywords Accuracy assessment - Aster - Land cover map - Matorral degradation map - Remote Sensing CLC number S757.3 Document code A Foundation item: This paper was partly sponsored by NFP (Netherlands Feliowship Program) and National Strategic Project “Environmentally Sound Forest Management Techniques and Models in Natural Forest in Northeast China” (2001BA510B0702) respectively.Biography: XING Yan-qiu (1970-), female, Lecturer, in College of Engi neering and technology Northeast Forestry University. Harbin 150040. P. R. ChinaResponsible editor: Song Funan
基金Supported by the Earmarked Fund for China Agriculture Research System(CARS-12cssy)
文摘[Objective] The aim was to explore a suitable cultivation approach for cassava in Hunan province. [Method] With SC9(Southern China 9) as test materials, the test included four treatment methods, as follows: control group by traditional cultivation with crops uncovered(CK), treatment 1 by traditional cultivation with mulch coverage, treatment 2 by powder ridge cultivation with crops uncovered, and treatment 3 by powder ridge cultivation with mulch coverage. Water and fertilizer managements were kept the same. [Result] Compared with traditional cultivation(CK), the treatment by powder ridge cultivation with mulch coverage performed better. Specifically, yield per unit area reached 44 790 kg/hm2, increasing by 86.38%(20 760 kg/hm2) than that of control; starch content grew by 17.24%. The cultivation method considerably improved cassava yield and quality. [Conclusion] Powder ridge cultivation with mulch coverage is a cultivation approach suitable for cassava in Hunan province.
