INFO:mylog:sysdir: D:\estar-proj\microproduct-L-SAR\leafAreaIndex-L-SAR
INFO:mylog:init algXML succeed
INFO:mylog:create new workspace success!
INFO:mylog:check_source success!
INFO:root:scope0:[[130.58788888888887, 47.876416666666664], [131.11544444444442, 47.876416666666664], [130.58788888888887, 47.427749999999996], [131.11544444444442, 47.427749999999996]]
INFO:root:scope1:[[130.58788888888887, 47.876416666666664], [131.11544444444442, 47.876416666666664], [130.58788888888887, 47.427749999999996], [131.11544444444442, 47.427749999999996]]
INFO:root:scope2:[[130.00427774930557, 49.00453605317449], [132.01632432267647, 49.00453605317449], [130.00427774930557, 47.00425741002555], [132.01632432267647, 47.00425741002555]]
INFO:root:scope3:[[130.40576233571758, 47.936153520704124], [131.8327786879565, 47.936153520704124], [130.40576233571758, 47.10644445056424], [131.8327786879565, 47.10644445056424]]
INFO:root:scope4:[[130.58788888888887, 47.876416666666664], [131.11544444444442, 47.876416666666664], [130.58788888888887, 47.427749999999996], [131.11544444444442, 47.427749999999996]]
INFO:root:scope roi :[(130.58788888888887, 47.427749999999996), (130.58788888888887, 47.876416666666664), (131.11544444444442, 47.876416666666664), (131.11544444444442, 47.427749999999996)]
INFO:mylog:create intersect shp success!
INFO:mylog:cut HV success!
INFO:mylog:cut LocalIncidenceAngle success!
INFO:mylog:cut NDVI success!
INFO:mylog:cut surface_coverage success!
INFO:mylog:cut soilMeasured success!
INFO:mylog:cut images success!
INFO:mylog:resampling HV success!
INFO:mylog:resampling LocalIncidenceAngle success!
INFO:mylog:resampling NDVI success!
INFO:mylog:resampling surface_coverage success!
INFO:mylog:resampling soilMeasured success!
INFO:mylog:preprocess_handle success!
INFO:mylog:preprocess_handle success!
INFO:mylog:progress bar: 30%
INFO:mylog:trans_tif2mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\angle_nan_mask.tif
INFO:mylog:trans_tif2mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\tif_mask_nan.tif
INFO:mylog:trans_tif2mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\Ndvi_mask.tif
INFO:mylog:create masks success!
INFO:mylog:combine_mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\bare_land_mask.tif
INFO:mylog:combine_mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\bare_land_mask.tif
INFO:mylog:combine_mask success, path: D:\micro\LWork\LeafAreaIndex\Temporary\processing\bare_land_mask.tif
INFO:mylog:combine_mask success!
INFO:mylog:cal_roi success, path: D:\micro\LWork\LeafAreaIndex\Temporary\maskcai_localang\LocalIncidenceAngle_preproed.tif
INFO:mylog:create ROI three image success!
INFO:mylog:progress bar: 50%
INFO:mylog:保留得数据集如下
INFO:mylog:[0, 1, 130.8493, 47.7596, 0.647, 0.00031600939904479484, nan, 0.011162193331085606, 0.4139857383697857]
INFO:mylog:[0, 2, 130.9049603, 47.82870525, 1.85, 0.0006487838043422757, 0.004000000189989805, 0.011416786085860229, 0.04813828491778285]
INFO:mylog:[0, 3, 130.9116466, 47.78779092, 2.548, 0.0011948131671611912, 0.004000000189989805, 0.011523998514921576, 0.24940783309715767]
INFO:mylog:[0, 4, 130.9257399, 47.79995501, 4.399, 0.000707945784384138, 0.003910225131951365, 0.011695039102140769, 0.05825456384753371]
INFO:mylog:[0, 5, 130.8616965, 47.83863672, 3.118, 0.0037282068494295653, 0.004000000189989805, 0.011695243441212325, 0.06341701936131965]
INFO:mylog:[0, 6, 130.8768527, 47.8527187, 3.045, 0.0033970348320337945, 0.003948628500011968, 0.011409717106064896, 0.044102799141618576]
INFO:mylog:[0, 7, 130.9089289, 47.7957563, 0.703, 0.0002786121168629772, 0.0039446410912744425, 0.012438033833915804, 0.02708185141630195]
INFO:mylog:[0, 8, 130.9261071, 47.83770614, 1.879, 0.000647142615748583, 0.004000000189989805, 0.011800636640853353, 0.3558422735903734]
INFO:mylog:[0, 10, 130.9096605, 47.82231467, 3.698, 0.001281814558871049, 0.003872072588606381, 0.011938311182606368, 0.0200477691732324]
INFO:mylog:[0, 11, 130.9302312, 47.79280158, 2.499, 0.0013689891307007353, 0.0032282347487642164, 0.011719476063678295, 0.11701191744456689]
INFO:mylog:[0, 12, 130.8815348, 47.80514989, 6.474, 0.011617160780585677, 0.003989965775636611, 0.011709185248171841, 0.06023994628857407]
INFO:mylog:[0, 13, 130.923088, 47.83170081, 2.227, 0.007277798045368242, 0.004000000189989805, 0.010349539338530582, 0.07643356585852158]
INFO:mylog:[0, 14, 130.8621311, 47.82272705, 2.537, 0.0030514060291410403, 0.0034436018056707616, 0.012773069369112268, 0.14365471789705347]
INFO:mylog:[0, 15, 130.9217203, 47.83695466, 2.262, 0.005992389025834782, 0.003980100959723378, 0.011583271401899832, 0.021599194109669807]
INFO:mylog:[0, 16, 130.9419507, 47.85169278, 2.005, 0.002989509927814587, nan, 0.01745329238474369, nan]
INFO:mylog:[0, 17, 130.9214345, 47.84844941, 5.94, 0.005058246620031137, nan, 0.01745329238474369, nan]
INFO:mylog:[0, 18, 130.9039725, 47.77273662, 2.726, 0.002385063795465105, 0.004000000189989805, 0.012553014045144304, 0.04935168064440842]
INFO:mylog:[0, 19, 130.870833, 47.80801553, 2.156, 0.0015093848966549518, 0.003996843184677907, 0.011840176872081228, 0.05113644486891083]
INFO:mylog:[0, 20, 130.8669438, 47.79564146, 3.906, 0.004215023497210444, 0.004000000189989805, 0.011503688393183697, 0.09507154535364222]
INFO:mylog:[0, 21, 130.8768676, 47.80865958, 3.523, 0.002329700001709053, 0.003997520730474297, 0.011634043049941093, 0.06481895545198593]
INFO:mylog:[0, 22, 130.9032802, 47.78301666, 1.715, 0.002055417264176657, 0.003997046052029839, 0.011463820094955557, 0.050162797072258444]
INFO:mylog:[0, 23, 130.9411553, 47.7974202, 2.276, 0.000828705077906983, 0.004000000189989805, 0.011654935846174205, 0.04437764623363353]
INFO:mylog:[0, 24, 130.9278229, 47.80751612, 2.501, 0.0008840971692004953, 0.003991368238204791, 0.011501038734467678, 0.05914035157794938]
INFO:mylog:[0, 26, 130.900114, 47.83643371, 1.966, 0.0008375292821268827, 0.004000000189989805, 0.011509940304138043, 0.07786272209781556]
INFO:mylog:[0, 27, 130.8852917, 47.83567414, 2.994, 0.0017060823890031242, 0.004000000189989805, 0.012513575006138396, 0.2279717870240594]
INFO:mylog:[0, 29, 130.9382681, 47.81159731, 2.125, 0.0007935969681957695, 0.004000000189989805, 0.011191124222988699, 0.040439940319270076]
INFO:mylog:训练模型
INFO:mylog:[-31.6, 0.01, 0.001, -5.0, 0.771, -0.028]
INFO:mylog:训练集：
根据误差输出点序
数量：(26,)
点序	误差值	 样点信息
INFO:mylog:0	nan	[0, 1, 130.8493, 47.7596, 0.647, 0.00031600939904479484, nan, 0.011162193331085606, 0.4139857383697857]
INFO:mylog:23	nan	[0, 26, 130.900114, 47.83643371, 1.966, 0.0008375292821268827, 0.004000000189989805, 0.011509940304138043, 0.07786272209781556]
INFO:mylog:22	nan	[0, 24, 130.9278229, 47.80751612, 2.501, 0.0008840971692004953, 0.003991368238204791, 0.011501038734467678, 0.05914035157794938]
INFO:mylog:21	nan	[0, 23, 130.9411553, 47.7974202, 2.276, 0.000828705077906983, 0.004000000189989805, 0.011654935846174205, 0.04437764623363353]
INFO:mylog:20	nan	[0, 22, 130.9032802, 47.78301666, 1.715, 0.002055417264176657, 0.003997046052029839, 0.011463820094955557, 0.050162797072258444]
INFO:mylog:19	nan	[0, 21, 130.8768676, 47.80865958, 3.523, 0.002329700001709053, 0.003997520730474297, 0.011634043049941093, 0.06481895545198593]
INFO:mylog:18	nan	[0, 20, 130.8669438, 47.79564146, 3.906, 0.004215023497210444, 0.004000000189989805, 0.011503688393183697, 0.09507154535364222]
INFO:mylog:17	nan	[0, 19, 130.870833, 47.80801553, 2.156, 0.0015093848966549518, 0.003996843184677907, 0.011840176872081228, 0.05113644486891083]
INFO:mylog:16	nan	[0, 18, 130.9039725, 47.77273662, 2.726, 0.002385063795465105, 0.004000000189989805, 0.012553014045144304, 0.04935168064440842]
INFO:mylog:15	nan	[0, 17, 130.9214345, 47.84844941, 5.94, 0.005058246620031137, nan, 0.01745329238474369, nan]
INFO:mylog:14	nan	[0, 16, 130.9419507, 47.85169278, 2.005, 0.002989509927814587, nan, 0.01745329238474369, nan]
INFO:mylog:13	nan	[0, 15, 130.9217203, 47.83695466, 2.262, 0.005992389025834782, 0.003980100959723378, 0.011583271401899832, 0.021599194109669807]
INFO:mylog:12	nan	[0, 14, 130.8621311, 47.82272705, 2.537, 0.0030514060291410403, 0.0034436018056707616, 0.012773069369112268, 0.14365471789705347]
INFO:mylog:11	nan	[0, 13, 130.923088, 47.83170081, 2.227, 0.007277798045368242, 0.004000000189989805, 0.010349539338530582, 0.07643356585852158]
INFO:mylog:10	nan	[0, 12, 130.8815348, 47.80514989, 6.474, 0.011617160780585677, 0.003989965775636611, 0.011709185248171841, 0.06023994628857407]
INFO:mylog:9	nan	[0, 11, 130.9302312, 47.79280158, 2.499, 0.0013689891307007353, 0.0032282347487642164, 0.011719476063678295, 0.11701191744456689]
INFO:mylog:8	nan	[0, 10, 130.9096605, 47.82231467, 3.698, 0.001281814558871049, 0.003872072588606381, 0.011938311182606368, 0.0200477691732324]
INFO:mylog:7	nan	[0, 8, 130.9261071, 47.83770614, 1.879, 0.000647142615748583, 0.004000000189989805, 0.011800636640853353, 0.3558422735903734]
INFO:mylog:6	nan	[0, 7, 130.9089289, 47.7957563, 0.703, 0.0002786121168629772, 0.0039446410912744425, 0.012438033833915804, 0.02708185141630195]
INFO:mylog:5	nan	[0, 6, 130.8768527, 47.8527187, 3.045, 0.0033970348320337945, 0.003948628500011968, 0.011409717106064896, 0.044102799141618576]
INFO:mylog:4	nan	[0, 5, 130.8616965, 47.83863672, 3.118, 0.0037282068494295653, 0.004000000189989805, 0.011695243441212325, 0.06341701936131965]
INFO:mylog:3	nan	[0, 4, 130.9257399, 47.79995501, 4.399, 0.000707945784384138, 0.003910225131951365, 0.011695039102140769, 0.05825456384753371]
INFO:mylog:2	nan	[0, 3, 130.9116466, 47.78779092, 2.548, 0.0011948131671611912, 0.004000000189989805, 0.011523998514921576, 0.24940783309715767]
INFO:mylog:1	nan	[0, 2, 130.9049603, 47.82870525, 1.85, 0.0006487838043422757, 0.004000000189989805, 0.011416786085860229, 0.04813828491778285]
INFO:mylog:24	nan	[0, 27, 130.8852917, 47.83567414, 2.994, 0.0017060823890031242, 0.004000000189989805, 0.012513575006138396, 0.2279717870240594]
INFO:mylog:25	nan	[0, 29, 130.9382681, 47.81159731, 2.125, 0.0007935969681957695, 0.004000000189989805, 0.011191124222988699, 0.040439940319270076]
INFO:mylog:
误差点序输出结束

INFO:root:模型初值:	[-31.6, 0.01, 0.001, -5.0, 0.771, -0.028]
INFO:root:训练得到的模型系数:	[nan nan nan nan nan nan]