光谱学与光谱分析 |
|
|
|
|
|
Forest Fire Division by Using MODIS Data Based on the Temporal-Spatial Variation Law |
HE Cheng1, 2, GONG Yin-xi3, ZHANG Si-yu1, HE Teng-fei2, CHEN Feng2, SUN Yu2, FENG Zhong-ke2* |
1. Forest Fire Research Center, Nanjing Forest Police College, Nanjing 210023, China 2. Institute of GIS, RS&GPS, Beijing Forestry University, Beijing 100083, China 3. The First Institute of Photogrammetry and Romote Sensing, SBSM,Xi’an 710054, China |
|
|
Abstract Forest fires are harmful to the ecological environment, which have induced global attention. In the present paper fire activities extracted from MODIS and burned areas were compared, and it was found that the wave band of 8~9 extracted from MOD14A1 was useful for fire monitoring, and the data accorded with field investigation with goodness of fit reaching up to 0.83. Through combining this wave band and the relative data to make the time and space analysis of the forest fires for 11 years, from 2000 to 2010, the study showed that the fire occurred most frequently in the spring, the autumn took the second place, and in the summer there was almost no fire occurrence unless drought. Through the analysis of the research area, the burned areas of the coniferous forest and temperate mixed forest were 53.68% and 44%, respectively, while the grassland was only 2.32%. Da Hinggan Ling region was the main combustion area, the burned areas were 64.7% and that for Xiao Hinggan Ling was about 23.49%, while those for other areas were less than 5%. The majority of forest land of burned areas has a gentle slope (≤5°), and is in the middle altitude between 200 and 500 m. So, using satellite remote sensing to analyze the time series of burned areas in forests would make the relationship between the fire activities, climate change, topography and vegetation type clear and it is also helpful to predicting the risk level of the fire areas.
|
Received: 2012-12-05
Accepted: 2013-03-26
|
|
Corresponding Authors:
FENG Zhong-ke
E-mail: fengzhonke@126.com
|
|
[1] Ramanathan V, Carmichael G. Nat. Geosci., 2008, 1: 221. [2] Freitas S R, Longo K M, Silva D, et al. Estud. Avanad, 2005, 19: 167. [3] Frana H, Setzer A W. Int. J. Remote Sens., 2001, 22: 2449. [4] Van der Werf G R, Randerson J T, Giglio L, et al. Science, 2004, 303: 73. [5] Klink A C, Machado R B. Megadiversidade, 2005, 1: 147. [6] Bowman D M J S, Balch J K, Artaxo P, et al. Science, 2009, 324: 481. [7] Mims F M. Nature, 1997, 390: 222. [8] Armenteras P D, Retana A J, Molowny H R, et al. Agric. For. Meteorol., 2011, 151: 279. [9] YIN Hai-wei, KONG Fan-hua, LI Xiu-zhen(尹海伟,孔繁花,李秀珍). Chinese Journal of Applied Ecology(应用生态学报), 2005, 16(5): 833. [10] WANG Chun-mei, WANG Jin-da, LIU Jing-shuang, et al(王春梅,王金达,刘景双,等). Chinese Journal of Applied Ecology(应用生态学报), 2003, 14(6): 863. [11] Lazaros S I, Anastasios K P, Panagiotis D L. For Policy Econ., 2002, 4(1): 43. [12] William A T, Ilan V, Hans S, et al. For Ecol. Man., 2000, 134(2): 163. [13] Jaiswal R K, Mukherjee S, Raju K D, et al. International Journal of Applied Earth Observation and Geoinformation, 2002, 4(1): 1. [14] Coutinho L M. Acta Bot. Braz, 2006, 20: 13. [15] JIN Sen, HU Hai-qing(金 森,胡海清). Scientia Silvae Sinicae(林业科学), 2002, 38(1): 88. |
[1] |
LI Chun-qiang1, 2, GAO Yong-gang1, 2, XU Han-qiu1, 2*. Cross Comparison Between Landsat New Land Surface Temperature
Product and the Corresponding MODIS Product[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 940-948. |
[2] |
LONG Ze-hao1, QIN Qi-ming1, 2, 3*, ZHANG Tian-yuan1, XU Wei1. Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 898-904. |
[3] |
YANG Dong-xu1,2, WEI Jing3,4*, ZHONG Yong-de1*. Aerosol Optical Depth Retrieval over Beijing Using MODIS Satellite Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(11): 3464-3469. |
[4] |
ZHAO Shuai-yang1, HU Xing-bang1, JING Xin2, JIANG Si-jia1, HE Li-qin1, MA Ai-nai1, YAN Lei1*. Analyses of Land Surface Emissivity Characteristics in Mid-Infrared Bands[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1393-1399. |
[5] |
CHANG Hao-xue1, CAI Xiao-bin2, CHEN Xiao-ling1, 3*, SUN Kun1. Response Characteristics Analysis of Different Vegetation Indices to Leaf Area Index of Rice[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 205-211. |
[6] |
LIU Huan-jun, NING Dong-hao, KANG Ran, JIN Hui-ning, ZHANG Xin-le*, SHENG Lei . A Study on Predicting Model of Organic Matter Contend Incorporating Soil Moisture Variation [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 566-570. |
[7] |
DONG Xue1,2, TIAN Jing1*, ZHANG Ren-hua1,HE Dong-xian3, CHEN Qing-mei1 . Study on the Relationship between Soil Emissivity Spectra and Content of Soil Elements[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 557-565. |
[8] |
GE Wei1, CHEN Liang-fu1, SI Yi-dan1, GE Qiang2, FAN Meng1*, LI Shen-shen1*. Haze Spectral Analysis and Detection Algorithm Using Satellite Remote Sensing Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(12): 3817-3824. |
[9] |
ZHANG Tian-long1, WEI Jing1*, GAN Jing-min1, ZHU Qian-qian2, YANG Dong-xu2 . Precipitable Water Vapor Retrieval with MODIS Near Infrared Data [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2378-2383. |
[10] |
LI Huo-qing1, WU Xin-ping2, Ali Mamtimin3, HUO Wen3, YANG Xing-hua3, YANG Fan3, HE Qing3, LIU Yong-qiang1,4*. Estimating Surface Broadband Emissivity of the Taklimakan Desert with FTIR and MODIS Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2414-2419. |
[11] |
LI Yao1, 2, ZHANG Li-fu1*, HUANG Chang-ping1, WANG Jin-nian1, CEN Yi1. Monitor of Cyanobacteria Bloom in Lake Taihu from 2001 to 2013 Based on MODIS Temporal Spectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(05): 1406-1411. |
[12] |
Shakir Muhammad1,2, NIU Zheng1*, WANG Li1,2, Abdullah Aablikim3, HAO Peng-yu1,2, WANG Chang-yao1. Crop Classification Based on Time Series MODIS EVI and Ground Observation for Three Adjoining Years in Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(05): 1345-1350. |
[13] |
DU Ling-tong1,2, TIAN Qing-jiu2, WANG Lei1,2 . Impact of Vegetation Structure on Drought Indices Based on MODIS Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(04): 982-986. |
[14] |
YU Chao1, 2, CHEN Liang-fu1*, LI Shen-shen1, TAO Jin-hua1, SU Lin1 . Estimating Biomass Burned Areas from Multispectral Dataset Detected by Multiple-Satellite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(03): 739-745. |
[15] |
LIU Yan1, LI Yang1, YANG Yun2, JIAN Ji3 . Spectrum Similarities-Based Analysis of Spatial Difference of Snow Cover for Multi-Scale Satellite Data—a Case Study of MODIS and HJ-1B Data [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(05): 1306-1311. |
|
|
|
|